Software Engineer, Research - Human Data

OpenAI OpenAI · AI Frontier · San Francisco, CA · Research

Software Engineer, Research - Human Data role at OpenAI. Focuses on building and maintaining full-stack systems for feedback collection, data labeling, and evaluation pipelines to train and improve AI models. Partners with researchers to translate alignment research into scalable production infrastructure, including inference and model training stacks. Designs user-facing tools and backend services for high-quality data workflows, driving infrastructure improvements for OpenAI's frontier models.

What you'd actually do

  1. Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines, while maintaining high levels of security.
  2. Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.
  3. Design and iterate on user-facing tools and backend services to support high-quality data workflows
  4. Partner with researchers, engineers, and program leads to shape feedback loops and model interaction paradigms
  5. Drive infrastructure improvements that enable faster iteration and scaling across OpenAI’s frontier models, from internal research tooling all the way to production ChatGPT.

Skills

Required

  • strong software engineering fundamentals
  • experience building production systems at scale
  • full-stack development
  • end-to-end ownership

Nice to have

  • high-impact collaboration with research teams
  • solving novel, ambiguous problems
  • shaping how AI systems learn from human preferences
  • building systems that enhance model safety, reliability, and usefulness

What the JD emphasized

  • Human Data
  • human feedback
  • alignment techniques
  • production infrastructure
  • frontier models

Other signals

  • human feedback
  • model training
  • alignment techniques
  • production infrastructure
  • frontier models