OpenAI
RE/RS, Data Understanding (MM)
$380K–$500K
San Francisco · Hybrid · Full-time · Posted May 29, 2026
About the job
Advance research and production methods for preparing, curating, synthesizing, and evaluating multimodal datasets used in model training.
What you'll do
- Develop multimodal content and supervision, data pipelines, quality filters, and automated data-preparation methods.
- Own a research agenda and carry long-running work from problem selection through impact.
- Measure whether dataset changes improve model performance.
What they ask for
- Strong track record of new or improved ML ideas demonstrated through publications, projects, or applied research.
- Ability to own and drive a research agenda through to impact.
- Enthusiasm for OpenAI’s empirical, collaborative approach to research.
Nice to have
- Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML.
- Experience building high-performance deep learning or large-scale data processing systems; thoughtfulness about privacy, provenance, and data quality.
Pay
$380K – $500K USD base salary
Tools
ML
AI focus
Research and production work on multimodal data synthesis, preparation, quality, and evaluation for model training.
Model-written summary · the original posting is authoritative