About the position
OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. A key part of achieving that mission is training models that deeply understand and reflect human preferences - the Human Data team is at the heart of that effort. The Human Data engineering team creates the systems that enable scalable, high-quality human feedback. These systems are essential to how OpenAI trains and improves its most advanced models. Engineers on this team collaborate closely with world-class researchers to bring alignment techniques to life - from experimental ideas to production-ready feedback loops. We're looking for software engineers to join the Human Data team and build the platforms, prototypes, tools, and infrastructure that power how our AI models are trained, aligned, and evaluated. You'll partner with researchers and cross-functional teams to bring alignment ideas to life, influence future model training, and shape how models interact with the real world. We're looking for people who are excited by technical ownership, enjoy working across the stack, and are eager to solve ambiguous problems in a high-impact, fast-paced environment.
Responsibilities
- Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.
- Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.
- Design and iterate on user-facing tools and backend services to support high-quality data workflows.
- Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms.
- Drive infrastructure improvements that enable faster iteration and scaling across OpenAI's frontier models, from internal research tooling all the way to production ChatGPT.
Requirements
- Have strong software engineering fundamentals and experience building production systems at scale.
- Enjoy full-stack development with end-to-end ownership - from backend pipelines to user interfaces.
- Are motivated by high-impact collaboration with research teams and solving novel, ambiguous problems.
- Are excited to shape how AI systems learn from human preferences and reflect a broad range of human values.
- Care deeply about inclusive tooling and building systems that enhance model safety, reliability, and usefulness.
Benefits
- Relocation assistance to new employees.
- Hybrid work model of 3 days in the office per week.
