Data QA Manager

About 1X We build humanoid robots that work alongside people to solve labor shortages. The Role You bridge AI research priorities with real-world data collection operations. You translate model needs into executable floor plans, navigate operational constraints, enforce rigorous quality standards, and shape the data strategy that scales from today’s studio to tomorrow’s customer fleet. Responsibilities Lead and manage a team of data operations and QA specialists Align daily collection tasks with current training priorities Triage failures with researchers and update floor plans same-day Create, maintain, and continuously refine clear, concise documentation and SOPs; drive rollout and ensure adoption across data ops and research teams Own 4–6 quarter data roadmap: studio scale-up, environment diversity, QA automation, transition to hybrid internal + customer data Inspect, visualize, annotate, and reject episodes daily to set and maintain quality bar Develop processes and tooling for <48h research ops feedback loop Prevent garbage data from entering training Ensure research intent aligns with real-world signals