About this role
OpenAI has a vacancy for the role of RE/RS, Data Understanding (MM) in San Francisco. This is a full-time position. The listing was posted on May 29, 2026. PakkiNaukri collects this listing from the employer's own posting and re-checks it — the employer's full description and the application itself are on the original listing, linked from this page.
From the employer's listing (short excerpt)
About The Team
The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs.
About The Role
We’re looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You’ll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance.
We Expect You To
- Have a strong track record of new or improved ML ideas, through publications, projects, or applied research.
- Own and drive a research agenda, from choosing the right multimodal data problems to carrying long-running work through to impact.
- Be excited by OpenAI’s empirical, collaborative approach to research.