We Love AI Jobs is seeking an experienced Portfolio Lead for Physical Intelligence in San Francisco to manage multiple annotation programs end-to-end. You will work with researchers to translate data needs into clear requirements, drive quality improvements, and balance speed with accuracy in a fast-paced, on-site environment.
You will collaborate across researchers, engineers and vendors, shaping scalable processes, setting rubrics, and ensuring reliable labeled data for model development.
#J-18808-LjbffrLead, Annotation Programs & Data Quality in san francisco at Unknown Company
This position is listed as full time and onsite.