QC Lead - Physical AI Video Annotation

About the role

We are looking for a QC Lead to own annotation quality for egocentric industrial video datasets. You will define review standards, lead the QC team, identify recurring errors, and ensure that delivered annotations meet project requirements.

What you'll do

• Lead reviewers and establish calibration, review, feedback, and rework processes
• Audit video chunking, temporal action boundaries, keypoint annotations, action labels, and natural language descriptions
• Check timestamp accuracy, coverage, label consistency, and the correctness of descriptions against the video
• Define QC checklists and sampling plans; track error rates, reviewer agreement, rejection trends, and quality improvements
• Resolve ambiguous cases, update guidelines, and coach annotators and reviewers

What you need

• 3–6 yrs of experience
• Calibration
• Any graduate