Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
ChatGPT
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI’s Human Data team builds systems that enable scalable, high-quality human feedback for training, aligning, and evaluating advanced AI models. Engineers collaborate with researchers and cross-functional teams to turn alignment research into production-ready feedback loops.
This role is based in San Francisco, California, and follows a hybrid work model requiring three days in the office per week.
Responsibilities
- Build and maintain robust full-stack systems for feedback collection, data labeling, and evaluation pipelines while maintaining high security standards.
- Translate experimental alignment research into scalable production infrastructure, including inference and model training stacks.
- Design and iterate on user-facing tools and backend services that 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 through production ChatGPT.
Requirements
- Strong software engineering fundamentals and experience building production systems at scale.
- Experience with full-stack development and end-to-end ownership, from backend pipelines to user interfaces.
- Motivation to collaborate with research teams and solve novel, ambiguous problems.
- Interest in shaping how AI systems learn from human preferences and reflect a broad range of human values.
- Commitment to building inclusive tooling and systems that improve model safety, reliability, and usefulness.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.
Compensation And Benefits
The US base salary range is $230,000–$385,000 per year, with equity. The posting also lists a London salary range of £131,000–£245,000 with equity. Total compensation may include performance-related bonuses and benefits such as medical, dental, and vision insurance; flexible spending accounts; a 401(k) with employer match; paid parental, medical, and caregiver leave; paid time off; paid holidays; mental health and wellness support; life and disability coverage; a learning and development stipend; meals and meal delivery credits; and relocation support for eligible employees.