Manager, Data Quality & Annotation

The Manager, Data Quality & Annotation will own the rubric and audit workflows for robot training data, building and scaling a remote annotation team to ensure high-quality episode data for model training. Based in San Francisco, this hands‑on role will define acceptance criteria, design QA programs, and create operational dashboards to maintain data quality as the operator base expands.