Help build the world's first automated "airlock" for health research environments. At UK Biobank, we're developing new technologies that will help researchers securely work with some of the world's richest biomedical datasets. This role sits within a team building what is believed to be the world's first automated output checking system for trusted research environments using AI and cloud-native technologies to help ensure researchers can only export files regarded as safe. It's a genuinely greenfield engineering challenge, combining AI-driven approaches, secure cloud-native architecture, and modern full-stack development to support global health research. Can you do it? You'll play a leading role in the development, integration, and delivery of UK Biobank's Automated Output Checking SSystem,helping shape a platform that supports secure research at a global scale. Working closely with architects, researchers, vendors, and internal engineering teams, you'll help design and build scalable integrations across research platforms and cloud-native services. This role combines hands-on engineering, technical leadership, and modern platform design, requiring someone who can work confidently across backend services, frontend applications, infrastructure, APIs, and cloud environments. The solution applies AI techniques, follows cloud-native principles, and is being built from the ground up giving you the opportunity to influence both architecture and technical direction. You will be responsible for: Ensuring integration patterns align with enterprise architecture principles, including event-driven, API-first, and microservices-based approaches. Designing and developing scalable, secure, cost-efficient and maintainable full-stack applications using Python (backend) and TypeScript (frontend), including relational and non-relational database management systems on AWS. Developing responsive and accessible user interfaces using modern frontend frameworks (e.g., React with TypeScript) Developing and manage infrastructure using Infrastructure as Code (Terraform), ensuring reproducible and auditable environments Develop CI/CD pipelines to enable continuous integration, testing, and deployment. Ensuring systems are designed with observability, logging, and monitoring to support operational excellence. Is this you? To be successful, you will have experience in: Full-stack software development within enterprise environments Backend development using Python frameworks such as FastAPI, Flask, or similar Frontend development experience using TypeScript and modern frameworks such as React or Vue AWS services (e.g., IAM, S3, Lambda, ECS/EKS, API Gateway, Step Functions) Microservices architecture and distributed systems Designing and consuming secure APIs with CI/CD pipelines and DevOps tooling Working hours are 35 hours per week, Monday to Friday, with some flexibility, 2 days onsite with hybrid working available. Located in Greater Manchester (initially based in Stockport with a move to Manchester Science Park mid to late 2026). Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson so we can support you. Your Wellbeing Matters to Us Our wellbeing score on Indeed is rated as 77% (High), reflecting how people experience working here day-to-day. Colleagues often highlight a strong sense of purpose, supportive team culture, and the opportunity to grow. There's a real focus on learning, flexibility, and feeling valued, whether that's developing new skills, contributing ideas, or building a career within Data & Technology. Benefits ️ 26 Days' Annual Leave - Plus Bank Holidays Holiday Buy Scheme Birthday Leave USS Pension Scheme Healthcare Cash Plan Enhanced Family Leave Cycle to Work Scheme Season Ticket Loan Professional Subscriptions £500 annual training budget ️ Free On-Site Gym ️ Subsidised Canteen Lunches Free Car Parking ️ Employee Discounts Portal Employee Assistance Programme Annual Flu Vaccination ️ Life Assurance Cover About UK Biobank UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic and health information from half a million UK participants. The database, the largest and most comprehensive of its kind in the world, is anonymised and made widely accessible by UK Biobank to global researchers who use it to find new scientific discoveries about common and life-threatening diseases - such as cancer, heart disease and stroke which strike in mid-later life. UK Biobank is an innovative organisation with over 350 staff across four sites in the UK that fosters an engaging environment and supports the development of our staff. Our dedicated teams work alongside the world's leading biomedical scientists in our joint mission to improve public health.
19/05/2026
Full time
Help build the world's first automated "airlock" for health research environments. At UK Biobank, we're developing new technologies that will help researchers securely work with some of the world's richest biomedical datasets. This role sits within a team building what is believed to be the world's first automated output checking system for trusted research environments using AI and cloud-native technologies to help ensure researchers can only export files regarded as safe. It's a genuinely greenfield engineering challenge, combining AI-driven approaches, secure cloud-native architecture, and modern full-stack development to support global health research. Can you do it? You'll play a leading role in the development, integration, and delivery of UK Biobank's Automated Output Checking SSystem,helping shape a platform that supports secure research at a global scale. Working closely with architects, researchers, vendors, and internal engineering teams, you'll help design and build scalable integrations across research platforms and cloud-native services. This role combines hands-on engineering, technical leadership, and modern platform design, requiring someone who can work confidently across backend services, frontend applications, infrastructure, APIs, and cloud environments. The solution applies AI techniques, follows cloud-native principles, and is being built from the ground up giving you the opportunity to influence both architecture and technical direction. You will be responsible for: Ensuring integration patterns align with enterprise architecture principles, including event-driven, API-first, and microservices-based approaches. Designing and developing scalable, secure, cost-efficient and maintainable full-stack applications using Python (backend) and TypeScript (frontend), including relational and non-relational database management systems on AWS. Developing responsive and accessible user interfaces using modern frontend frameworks (e.g., React with TypeScript) Developing and manage infrastructure using Infrastructure as Code (Terraform), ensuring reproducible and auditable environments Develop CI/CD pipelines to enable continuous integration, testing, and deployment. Ensuring systems are designed with observability, logging, and monitoring to support operational excellence. Is this you? To be successful, you will have experience in: Full-stack software development within enterprise environments Backend development using Python frameworks such as FastAPI, Flask, or similar Frontend development experience using TypeScript and modern frameworks such as React or Vue AWS services (e.g., IAM, S3, Lambda, ECS/EKS, API Gateway, Step Functions) Microservices architecture and distributed systems Designing and consuming secure APIs with CI/CD pipelines and DevOps tooling Working hours are 35 hours per week, Monday to Friday, with some flexibility, 2 days onsite with hybrid working available. Located in Greater Manchester (initially based in Stockport with a move to Manchester Science Park mid to late 2026). Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson so we can support you. Your Wellbeing Matters to Us Our wellbeing score on Indeed is rated as 77% (High), reflecting how people experience working here day-to-day. Colleagues often highlight a strong sense of purpose, supportive team culture, and the opportunity to grow. There's a real focus on learning, flexibility, and feeling valued, whether that's developing new skills, contributing ideas, or building a career within Data & Technology. Benefits ️ 26 Days' Annual Leave - Plus Bank Holidays Holiday Buy Scheme Birthday Leave USS Pension Scheme Healthcare Cash Plan Enhanced Family Leave Cycle to Work Scheme Season Ticket Loan Professional Subscriptions £500 annual training budget ️ Free On-Site Gym ️ Subsidised Canteen Lunches Free Car Parking ️ Employee Discounts Portal Employee Assistance Programme Annual Flu Vaccination ️ Life Assurance Cover About UK Biobank UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic and health information from half a million UK participants. The database, the largest and most comprehensive of its kind in the world, is anonymised and made widely accessible by UK Biobank to global researchers who use it to find new scientific discoveries about common and life-threatening diseases - such as cancer, heart disease and stroke which strike in mid-later life. UK Biobank is an innovative organisation with over 350 staff across four sites in the UK that fosters an engaging environment and supports the development of our staff. Our dedicated teams work alongside the world's leading biomedical scientists in our joint mission to improve public health.
Help build one of the world's first AI-driven output checking systems for health research. At UK Biobank, we're developing new technologies that will help researchers safely access and use some of the world's richest biomedical datasets. This role sits within a team building what is believed to be the world's first automated output checking system for trusted research environments using AI and cloud-native technologies to help ensure researchers can only export files regarded as safe. It's a rare opportunity to work on something genuinely new, technically challenging, and mission-driven. Can you do it? You'll join a growing engineering team focused on developing and integrating the Automated Output Checking System across UK Biobank's internal and external research platforms. Working across backend services, frontend applications, APIs, and cloud infrastructure, you'll help build secure and scalable integrations between access management systems, research analysis platforms, trusted research environments, and supplier-built services. This role combines full-stack engineering, cloud technologies, and emerging AI-driven approaches, giving you exposure to modern system design while contributing to technology that supports global research. You will be responsible for: Building and maintaining scalable, secure, cost-efficient and maintainable full-stack applications using Python (backend) and TypeScript (frontend), including relational and non-relational database management systems on AWS. Developing responsive and accessible user interfaces using modern front-end frameworks (e.g., React with TypeScript) Assisting in implementing CI/CD pipelines and automated deployment processes Ensuring appropriate logging, monitoring, and basic observability are implemented within developed components. Participating in development of AI-driven validation and rule-based decision logic under guidance Is this you? To be successful, you will have experience in: Full-stack software development within a product or delivery team Developing backend development using Python frameworks such as FastAPI, Flask, or similar Frontend applications using TypeScript and frameworks such as React or Vue Working with cloud platforms, preferably AWS Microservices and API-based architectures SQL and/or NoSQL databases Working hours are 35 hours per week, Monday to Friday, with some flexibility, 2 days onsite with hybrid working available. Located in Greater Manchester (initially based in Stockport with a move to Manchester Science Park mid to late 2026). Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson at j so we can support you Your Wellbeing Matters to Us Our wellbeing score on Indeed is rated as 77% (High), reflecting how people experience working here day-to-day. Colleagues often highlight a strong sense of purpose, supportive team culture, and the opportunity to grow. There's a real focus on learning, flexibility, and feeling valued, whether that's developing new skills, contributing ideas, or building a career within Data & Technology. Benefits ️ 26 Days' Annual Leave - Plus Bank Holidays Holiday Buy Scheme Birthday Leave USS Pension Scheme Healthcare Cash Plan Enhanced Family Leave Cycle to Work Scheme Season Ticket Loan Professional Subscriptions £500 annual training budget ️ Free On-Site Gym ️ Subsidised Canteen Lunches Free Car Parking ️ Employee Discounts Portal Employee Assistance Programme Annual Flu Vaccination ️ Life Assurance Cover About UK Biobank UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic and health information from half a million UK participants. The database, the largest and most comprehensive of its kind in the world, is anonymised and made widely accessible by UK Biobank to global researchers who use it to find new scientific discoveries about common and life-threatening diseases - such as cancer, heart disease and stroke which strike in mid-later life. UK Biobank is an innovative organisation with over 350 staff across four sites in the UK that fosters an engaging environment and supports the development of our staff. Our dedicated teams work alongside the world's leading biomedical scientists in our joint mission to improve public health.
19/05/2026
Full time
Help build one of the world's first AI-driven output checking systems for health research. At UK Biobank, we're developing new technologies that will help researchers safely access and use some of the world's richest biomedical datasets. This role sits within a team building what is believed to be the world's first automated output checking system for trusted research environments using AI and cloud-native technologies to help ensure researchers can only export files regarded as safe. It's a rare opportunity to work on something genuinely new, technically challenging, and mission-driven. Can you do it? You'll join a growing engineering team focused on developing and integrating the Automated Output Checking System across UK Biobank's internal and external research platforms. Working across backend services, frontend applications, APIs, and cloud infrastructure, you'll help build secure and scalable integrations between access management systems, research analysis platforms, trusted research environments, and supplier-built services. This role combines full-stack engineering, cloud technologies, and emerging AI-driven approaches, giving you exposure to modern system design while contributing to technology that supports global research. You will be responsible for: Building and maintaining scalable, secure, cost-efficient and maintainable full-stack applications using Python (backend) and TypeScript (frontend), including relational and non-relational database management systems on AWS. Developing responsive and accessible user interfaces using modern front-end frameworks (e.g., React with TypeScript) Assisting in implementing CI/CD pipelines and automated deployment processes Ensuring appropriate logging, monitoring, and basic observability are implemented within developed components. Participating in development of AI-driven validation and rule-based decision logic under guidance Is this you? To be successful, you will have experience in: Full-stack software development within a product or delivery team Developing backend development using Python frameworks such as FastAPI, Flask, or similar Frontend applications using TypeScript and frameworks such as React or Vue Working with cloud platforms, preferably AWS Microservices and API-based architectures SQL and/or NoSQL databases Working hours are 35 hours per week, Monday to Friday, with some flexibility, 2 days onsite with hybrid working available. Located in Greater Manchester (initially based in Stockport with a move to Manchester Science Park mid to late 2026). Our passion for diversity and equality means creating a work environment for all employees that is welcoming, respectful, engaging, and enriched with opportunities for personal and professional development. We actively welcome applications from people with disabilities, long-term health conditions, neurodivergent candidates, and those with diverse thinking styles. We are committed to making reasonable adjustments throughout our recruitment process and in the workplace so that everyone can perform at their best. If you require any adjustments during the recruitment process, please contact Tommy Wilson at j so we can support you Your Wellbeing Matters to Us Our wellbeing score on Indeed is rated as 77% (High), reflecting how people experience working here day-to-day. Colleagues often highlight a strong sense of purpose, supportive team culture, and the opportunity to grow. There's a real focus on learning, flexibility, and feeling valued, whether that's developing new skills, contributing ideas, or building a career within Data & Technology. Benefits ️ 26 Days' Annual Leave - Plus Bank Holidays Holiday Buy Scheme Birthday Leave USS Pension Scheme Healthcare Cash Plan Enhanced Family Leave Cycle to Work Scheme Season Ticket Loan Professional Subscriptions £500 annual training budget ️ Free On-Site Gym ️ Subsidised Canteen Lunches Free Car Parking ️ Employee Discounts Portal Employee Assistance Programme Annual Flu Vaccination ️ Life Assurance Cover About UK Biobank UK Biobank is a large-scale biomedical database and research resource containing in-depth genetic and health information from half a million UK participants. The database, the largest and most comprehensive of its kind in the world, is anonymised and made widely accessible by UK Biobank to global researchers who use it to find new scientific discoveries about common and life-threatening diseases - such as cancer, heart disease and stroke which strike in mid-later life. UK Biobank is an innovative organisation with over 350 staff across four sites in the UK that fosters an engaging environment and supports the development of our staff. Our dedicated teams work alongside the world's leading biomedical scientists in our joint mission to improve public health.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
19/05/2026
Full time
About the Project Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer - we want you to help us train the world's most advanced generative systems. Ideal Qualifications 2+ years of experience in backend engineering, AI automation, or complex systems integration. Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. Practical experience building for live, non-mocked environments and handling multi-turn system interactions. Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress. Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
