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Software Engineer, Research - Human Data Careers at OpenAI - San Francisco, California | Apply Now!

OpenAI

Software Engineer, Research - Human Data Careers at OpenAI - San Francisco, California | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Software Engineer, Research - Human Data at OpenAI: Shape the Future of AI Alignment in San Francisco

Join OpenAI's Human Data team as a Software Engineer, Research - Human Data and play a pivotal role in ensuring artificial general intelligence (AGI) benefits humanity. Based in San Francisco, California, this high-impact position involves building scalable systems for human feedback, AI model training, and alignment techniques. If you're passionate about full-stack development, machine learning infrastructure, and solving ambiguous problems at the forefront of AI research, this OpenAI career opportunity is for you.

Role Overview

The Human Data engineering team at OpenAI is central to the company's mission of developing safe, aligned AGI. We create platforms, prototypes, tools, and infrastructure that power how AI models learn from human preferences. As a Software Engineer on this team, you'll collaborate with world-class researchers to transform experimental ideas into production-ready feedback loops.

This role demands technical ownership across the stack, from secure backend pipelines to intuitive user interfaces. You'll influence model training for frontier systems like ChatGPT, ensuring they reflect diverse human values. Located in San Francisco with a hybrid model (3 days in-office), OpenAI offers relocation support. Ideal candidates thrive in fast-paced environments, enjoy end-to-end ownership, and are motivated by high-stakes AI challenges.

OpenAI's commitment to safety and inclusivity means your work will enhance model reliability, usefulness, and ethical alignment. This isn't just engineering—it's pioneering the systems that make AI safe for humanity.

Key Responsibilities

In this dynamic role, you'll tackle cutting-edge challenges in AI infrastructure. Key responsibilities include:

  • Building robust full-stack systems for feedback collection, data labeling, and secure evaluation pipelines.
  • Translating alignment research into scalable production infrastructure, including inference and training stacks.
  • Designing user-facing tools and backend services to streamline high-quality data workflows.
  • Partnering with researchers, engineers, and leads to refine feedback loops and interaction paradigms.
  • Driving infrastructure scaling for faster iteration across OpenAI's models, from research to production.
  • Implementing security protocols to safeguard sensitive human data.
  • Optimizing systems for performance, reliability, and massive scale.
  • Collaborating on inclusive tooling that captures broad human perspectives.
  • Prototyping new platforms to test alignment techniques rapidly.
  • Monitoring and iterating on production systems to support evolving AI capabilities.
  • Influencing strategic decisions in model training and deployment.
  • Contributing to OpenAI's culture of innovation and safety-first development.

Expect to own projects end-to-end, making measurable impacts on AGI development.

Qualifications

To excel as a Software Engineer, Research - Human Data at OpenAI, bring these qualifications:

  • 5+ years of software engineering experience with production systems at scale.
  • Full-stack expertise: backend (Python, APIs), frontend (React/JS), and databases (SQL/NoSQL).
  • Experience in ML infrastructure, data pipelines, and scalable cloud deployments.
  • Proven ability to turn research prototypes into reliable production code.
  • Strong problem-solving in ambiguous, high-impact scenarios.
  • Passion for AI alignment, human preferences, and model safety.
  • Collaboration skills with research and cross-functional teams.
  • Familiarity with DevOps, CI/CD, Docker, Kubernetes, and security best practices.
  • Excitement for inclusive, ethical AI systems.
  • BS/MS in Computer Science or equivalent experience.

Prior work in AI/ML companies or research environments is a plus.

Salary & Benefits

OpenAI offers competitive compensation for Software Engineer roles in San Francisco, estimated at $250,000–$450,000 USD yearly, including base salary, equity, and bonuses. Total rewards reflect experience and impact.

Benefits include comprehensive health coverage, 401(k) matching, unlimited PTO, parental leave, wellness stipends, gym reimbursements, catered meals, and professional development budgets. Enjoy a hybrid model with relocation assistance and work on world-changing AI.

Why Join OpenAI?

OpenAI is the leader in AGI research, deploying safe AI like ChatGPT to billions. The Human Data team is mission-critical, directly shaping how models understand humanity. Work with top researchers, own high-impact projects, and contribute to ethical AI.

San Francisco's vibrant tech scene, combined with OpenAI's inclusive culture, fosters innovation. We're an equal opportunity employer valuing diverse perspectives. Your code will power the future of intelligence.

Employees rave about the autonomy, resources, and global reach. Join a team pushing AI boundaries responsibly.

How to Apply

Ready to build the infrastructure for aligned AGI? Apply now via OpenAI's careers page. Submit your resume, GitHub/portfolio, and a note on why you're excited about Human Data engineering. We review applications on a rolling basis—don't wait!

OpenAI is committed to diversity. Learn more at openai.com/careers.

This page optimized for Software Engineer Human Data OpenAI jobs in San Francisco. Updated 2023.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

262,500 - 495,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Full-Stack Developmentintermediate
  • Python Programmingintermediate
  • Scalable Systems Engineeringintermediate
  • Data Pipeline Architectureintermediate
  • Machine Learning Infrastructureintermediate
  • AI Model Trainingintermediate
  • Backend API Developmentintermediate
  • Frontend UI/UX Designintermediate
  • Database Managementintermediate
  • Cloud Computing (AWS/GCP)intermediate
  • DevOps and CI/CDintermediate
  • Security Engineeringintermediate
  • React/JavaScriptintermediate
  • Docker/Kubernetesintermediate
  • SQL/NoSQL Databasesintermediate
  • Microservices Architectureintermediate
  • Agile Methodologiesintermediate
  • Performance Optimizationintermediate

Required Qualifications

  • Strong software engineering fundamentals with 5+ years of experience building production systems at scale (experience)
  • Proven track record in full-stack development, including backend pipelines and user interfaces (experience)
  • Experience translating research prototypes into scalable production infrastructure (experience)
  • Deep knowledge of data collection, labeling, and evaluation pipelines for AI/ML models (experience)
  • Hands-on experience with machine learning stacks, inference systems, and model training (experience)
  • Ability to collaborate with cross-functional teams including researchers and program leads (experience)
  • Excitement for solving ambiguous, high-impact problems in a fast-paced environment (experience)
  • Passion for AI alignment, human preferences, and model safety (experience)
  • Familiarity with secure systems design and data privacy best practices (experience)
  • Bachelor's or higher degree in Computer Science, Engineering, or related field (experience)
  • Experience with cloud platforms like AWS, GCP, or Azure for scalable deployments (experience)
  • Strong communication skills for partnering with world-class research teams (experience)

Responsibilities

  • Build and maintain robust full-stack systems for feedback collection and data labeling
  • Develop secure evaluation pipelines that handle high volumes of human data
  • Translate experimental alignment research into production-ready infrastructure
  • Design scalable inference and model training stacks for frontier AI models
  • Create user-facing tools and backend services to optimize data workflows
  • Partner with researchers to shape feedback loops and model interaction paradigms
  • Drive infrastructure improvements for faster iteration on internal research tooling
  • Scale systems from prototypes to production environments like ChatGPT
  • Implement high-security measures to protect sensitive human feedback data
  • Iterate on platforms that enable high-quality human-AI alignment
  • Collaborate cross-functionally to influence future model training strategies
  • Monitor and optimize system performance for reliability and efficiency
  • Contribute to inclusive tooling that reflects diverse human values

Benefits

  • general: Competitive salary with equity in a high-growth AI company
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: 401(k) matching and retirement savings plans
  • general: Generous paid time off and flexible vacation policy
  • general: Hybrid work model with 3 days in-office per week
  • general: Full relocation assistance to San Francisco for new hires
  • general: Parental leave and family planning benefits
  • general: Mental health support and wellness stipends
  • general: Learning and development budget for conferences and courses
  • general: Gym membership reimbursement and fitness programs
  • general: Catered meals, snacks, and team-building events
  • general: Cutting-edge work on AGI with global impact
  • general: Inclusive culture with diversity and equal opportunity focus

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Software Engineer Human Data OpenAIOpenAI jobs San FranciscoAI alignment engineer careerHuman feedback systems engineerML infrastructure jobs OpenAIFull stack developer AI researchSoftware engineer AGI OpenAIData labeling pipeline engineerAI model training jobs SFResearch engineer human preferencesOpenAI Human Data team careersScalable AI feedback systemsProduction ML infrastructure rolesSan Francisco AI engineering jobsOpenAI software engineer salaryHybrid AI jobs CaliforniaAI safety engineering OpenAIFrontend backend AI developerRelocation jobs OpenAI SFChatGPT training engineerInclusive AI tooling careersResearch

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OpenAI logo

Software Engineer, Research - Human Data Careers at OpenAI - San Francisco, California | Apply Now!

OpenAI

Software Engineer, Research - Human Data Careers at OpenAI - San Francisco, California | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Software Engineer, Research - Human Data at OpenAI: Shape the Future of AI Alignment in San Francisco

Join OpenAI's Human Data team as a Software Engineer, Research - Human Data and play a pivotal role in ensuring artificial general intelligence (AGI) benefits humanity. Based in San Francisco, California, this high-impact position involves building scalable systems for human feedback, AI model training, and alignment techniques. If you're passionate about full-stack development, machine learning infrastructure, and solving ambiguous problems at the forefront of AI research, this OpenAI career opportunity is for you.

Role Overview

The Human Data engineering team at OpenAI is central to the company's mission of developing safe, aligned AGI. We create platforms, prototypes, tools, and infrastructure that power how AI models learn from human preferences. As a Software Engineer on this team, you'll collaborate with world-class researchers to transform experimental ideas into production-ready feedback loops.

This role demands technical ownership across the stack, from secure backend pipelines to intuitive user interfaces. You'll influence model training for frontier systems like ChatGPT, ensuring they reflect diverse human values. Located in San Francisco with a hybrid model (3 days in-office), OpenAI offers relocation support. Ideal candidates thrive in fast-paced environments, enjoy end-to-end ownership, and are motivated by high-stakes AI challenges.

OpenAI's commitment to safety and inclusivity means your work will enhance model reliability, usefulness, and ethical alignment. This isn't just engineering—it's pioneering the systems that make AI safe for humanity.

Key Responsibilities

In this dynamic role, you'll tackle cutting-edge challenges in AI infrastructure. Key responsibilities include:

  • Building robust full-stack systems for feedback collection, data labeling, and secure evaluation pipelines.
  • Translating alignment research into scalable production infrastructure, including inference and training stacks.
  • Designing user-facing tools and backend services to streamline high-quality data workflows.
  • Partnering with researchers, engineers, and leads to refine feedback loops and interaction paradigms.
  • Driving infrastructure scaling for faster iteration across OpenAI's models, from research to production.
  • Implementing security protocols to safeguard sensitive human data.
  • Optimizing systems for performance, reliability, and massive scale.
  • Collaborating on inclusive tooling that captures broad human perspectives.
  • Prototyping new platforms to test alignment techniques rapidly.
  • Monitoring and iterating on production systems to support evolving AI capabilities.
  • Influencing strategic decisions in model training and deployment.
  • Contributing to OpenAI's culture of innovation and safety-first development.

Expect to own projects end-to-end, making measurable impacts on AGI development.

Qualifications

To excel as a Software Engineer, Research - Human Data at OpenAI, bring these qualifications:

  • 5+ years of software engineering experience with production systems at scale.
  • Full-stack expertise: backend (Python, APIs), frontend (React/JS), and databases (SQL/NoSQL).
  • Experience in ML infrastructure, data pipelines, and scalable cloud deployments.
  • Proven ability to turn research prototypes into reliable production code.
  • Strong problem-solving in ambiguous, high-impact scenarios.
  • Passion for AI alignment, human preferences, and model safety.
  • Collaboration skills with research and cross-functional teams.
  • Familiarity with DevOps, CI/CD, Docker, Kubernetes, and security best practices.
  • Excitement for inclusive, ethical AI systems.
  • BS/MS in Computer Science or equivalent experience.

Prior work in AI/ML companies or research environments is a plus.

Salary & Benefits

OpenAI offers competitive compensation for Software Engineer roles in San Francisco, estimated at $250,000–$450,000 USD yearly, including base salary, equity, and bonuses. Total rewards reflect experience and impact.

Benefits include comprehensive health coverage, 401(k) matching, unlimited PTO, parental leave, wellness stipends, gym reimbursements, catered meals, and professional development budgets. Enjoy a hybrid model with relocation assistance and work on world-changing AI.

Why Join OpenAI?

OpenAI is the leader in AGI research, deploying safe AI like ChatGPT to billions. The Human Data team is mission-critical, directly shaping how models understand humanity. Work with top researchers, own high-impact projects, and contribute to ethical AI.

San Francisco's vibrant tech scene, combined with OpenAI's inclusive culture, fosters innovation. We're an equal opportunity employer valuing diverse perspectives. Your code will power the future of intelligence.

Employees rave about the autonomy, resources, and global reach. Join a team pushing AI boundaries responsibly.

How to Apply

Ready to build the infrastructure for aligned AGI? Apply now via OpenAI's careers page. Submit your resume, GitHub/portfolio, and a note on why you're excited about Human Data engineering. We review applications on a rolling basis—don't wait!

OpenAI is committed to diversity. Learn more at openai.com/careers.

This page optimized for Software Engineer Human Data OpenAI jobs in San Francisco. Updated 2023.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

262,500 - 495,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Full-Stack Developmentintermediate
  • Python Programmingintermediate
  • Scalable Systems Engineeringintermediate
  • Data Pipeline Architectureintermediate
  • Machine Learning Infrastructureintermediate
  • AI Model Trainingintermediate
  • Backend API Developmentintermediate
  • Frontend UI/UX Designintermediate
  • Database Managementintermediate
  • Cloud Computing (AWS/GCP)intermediate
  • DevOps and CI/CDintermediate
  • Security Engineeringintermediate
  • React/JavaScriptintermediate
  • Docker/Kubernetesintermediate
  • SQL/NoSQL Databasesintermediate
  • Microservices Architectureintermediate
  • Agile Methodologiesintermediate
  • Performance Optimizationintermediate

Required Qualifications

  • Strong software engineering fundamentals with 5+ years of experience building production systems at scale (experience)
  • Proven track record in full-stack development, including backend pipelines and user interfaces (experience)
  • Experience translating research prototypes into scalable production infrastructure (experience)
  • Deep knowledge of data collection, labeling, and evaluation pipelines for AI/ML models (experience)
  • Hands-on experience with machine learning stacks, inference systems, and model training (experience)
  • Ability to collaborate with cross-functional teams including researchers and program leads (experience)
  • Excitement for solving ambiguous, high-impact problems in a fast-paced environment (experience)
  • Passion for AI alignment, human preferences, and model safety (experience)
  • Familiarity with secure systems design and data privacy best practices (experience)
  • Bachelor's or higher degree in Computer Science, Engineering, or related field (experience)
  • Experience with cloud platforms like AWS, GCP, or Azure for scalable deployments (experience)
  • Strong communication skills for partnering with world-class research teams (experience)

Responsibilities

  • Build and maintain robust full-stack systems for feedback collection and data labeling
  • Develop secure evaluation pipelines that handle high volumes of human data
  • Translate experimental alignment research into production-ready infrastructure
  • Design scalable inference and model training stacks for frontier AI models
  • Create user-facing tools and backend services to optimize data workflows
  • Partner with researchers to shape feedback loops and model interaction paradigms
  • Drive infrastructure improvements for faster iteration on internal research tooling
  • Scale systems from prototypes to production environments like ChatGPT
  • Implement high-security measures to protect sensitive human feedback data
  • Iterate on platforms that enable high-quality human-AI alignment
  • Collaborate cross-functionally to influence future model training strategies
  • Monitor and optimize system performance for reliability and efficiency
  • Contribute to inclusive tooling that reflects diverse human values

Benefits

  • general: Competitive salary with equity in a high-growth AI company
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: 401(k) matching and retirement savings plans
  • general: Generous paid time off and flexible vacation policy
  • general: Hybrid work model with 3 days in-office per week
  • general: Full relocation assistance to San Francisco for new hires
  • general: Parental leave and family planning benefits
  • general: Mental health support and wellness stipends
  • general: Learning and development budget for conferences and courses
  • general: Gym membership reimbursement and fitness programs
  • general: Catered meals, snacks, and team-building events
  • general: Cutting-edge work on AGI with global impact
  • general: Inclusive culture with diversity and equal opportunity focus

Target Your Resume for "Software Engineer, Research - Human Data Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

Get personalized recommendations to optimize your resume specifically for Software Engineer, Research - Human Data Careers at OpenAI - San Francisco, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Software Engineer, Research - Human Data Careers at OpenAI - San Francisco, California | Apply Now!" , OpenAI

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Software Engineer Human Data OpenAIOpenAI jobs San FranciscoAI alignment engineer careerHuman feedback systems engineerML infrastructure jobs OpenAIFull stack developer AI researchSoftware engineer AGI OpenAIData labeling pipeline engineerAI model training jobs SFResearch engineer human preferencesOpenAI Human Data team careersScalable AI feedback systemsProduction ML infrastructure rolesSan Francisco AI engineering jobsOpenAI software engineer salaryHybrid AI jobs CaliforniaAI safety engineering OpenAIFrontend backend AI developerRelocation jobs OpenAI SFChatGPT training engineerInclusive AI tooling careersResearch

Answer 10 quick questions to check your fit for Software Engineer, Research - Human Data Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.