Project Cursa - Robot Manipulation Video Annotation QC (V2)

About the role

We are looking for a detail-oriented QC Reviewer to ensure the quality and consistency of robot manipulation video annotations produced by our annotation team. You'll review labeled video segments against a detailed style guide and reference examples, catch errors or inconsistencies, and provide clear, constructive feedback to annotators.

What you'll do

• Review completed annotations of robot manipulation videos across three levels of labeling detail (atomic motion, skill/subtask, task/goal)
• Cross-check annotator descriptions against all three camera views (overhead and both wrist-mounted cameras) to verify accuracy of described actions
• Verify full coverage of each video — confirm there are no gaps in labeling, including idle or pause moments
• Evaluate annotations for adherence to the style guide: correct vocabulary usage, spatial/directional accuracy, consistent terminology for objects and actions
• Identify recurring errors or patterns of confusion among annotators and report them to the team lead for calibration purposes

What you need

• Data annotation

Good to have

• Editing
• Transcription
• Proofreading