Project Coordinator, Data Quality
Core
Own full project lifecycle for data quality standards, guidelines, and audit infrastructure to ensure training data meets AI system requirements for humanoid robots.
Role type
Project Coordinator, Data Quality
Builds
Data quality standards, review guidelines, audit cycles, and training materials for AI training data
Domain
AI Robotics / Humanoid Robots / Data Quality Operations
Deliverable
production ML models
Required skills
Project lifecycle ownership, writing review guidelines and acceptance criteria, running audit/QA cycles, vendor relationship management, SOP creation, people management, translating technical requirements into operational guidance
Preferred skills
Golden set/ground truth construction, robotics or autonomous systems background, designing training/calibration programs
Technologies
None explicitly stated
Responsibilities
Define review guidelines and acceptance criteria; handle escalated edge cases; contribute to golden set construction; run audit cycles and feed findings back; coordinate analysts across projects; write and maintain SOPs; manage direct reports; design training materials; coordinate vendors
Seniority
Mid-level, hands-on IC with potential for management