RE/RS, Data Understanding - Foundations
OpenAI· Research
Hybrid (Zurich, Switzerland)Full-timePosted 2mo ago
About the role
Role focused on advancing pretraining data understanding and quality at OpenAI, including data curation, dataset creation, and scalable processing pipelines to support big model training.
Responsibilities
- Develop new methods to select, combine, and transform data for pretraining; create datasets that improve model capabilities.
- Design rigorous experiments to understand how data choices affect model learning and downstream behavior.
- Build evidence and translate successful research into scalable data processing pipelines.
- Collaborate with frontier models and web-scale data teams to inform data strategies.
Qualifications
- Strong track record of new or improved ML ideas through publications, projects, or applied research.
- Ability to own and drive a research agenda from problem selection to long-running impact.
- Excitement for an empirical, collaborative research approach.
Skills
Required:Machine learning researchResearch agenda planning
Last updated Aug 27, 2026. Interested? Apply on the company site.
About OpenAI
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