# People Research Data Scientist, AI Fairness & Bias at OpenAI

- Company: OpenAI
- What the company does: Backed by Greylock, Insight and Khosla.
- Company website: https://openai.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: Remote
- Pay: $198K to $220K base salary per year (USD)
- Posted: 2026-08-31
- Apply by: 2026-10-15
- Apply: https://jobs.ashbyhq.com/openai/cadb7c24-2aea-4b98-a793-65ae9388b5d6
- Page: https://www.1752.vc/careers/jobs/openai-people-research-data-scientist-ai-fairness-and-bias/

## About the role

As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows.

## What they're looking for

- Deep expertise in algorithmic fairness, bias measurement, responsible AI, psychometrics, applied statistics, or the evaluation of high-impact decision systems
- Exceptional strength in research design, measurement, experimentation, causal inference, and statistical modeling
- Strong judgment about the limitations of fairness metrics, including the ability to determine which measures are appropriate for a particular decision context rather than applying a single universal definition of fairness
- Experience evaluating machine-learning models, generative AI systems, agents, or human-AI workflows using quantitative and qualitative evidence
- High proficiency in Python or R and SQL, with experience working across complex, sensitive, and imperfect datasets
- Experience building reproducible evaluation pipelines, automated testing frameworks, analytical tools, monitoring systems, or governed research workflows

Tags: People