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Description
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. 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, object identification, and contact/grasp details. Verify full coverage of each video — confirm there are no gaps in labeling, including idle or pause moments. Check that descriptions accurately reflect what actually happened in the video, including failures, drops, or slipped grips — flagging any instances where outcomes were inaccurately described or "smoothed over." Evaluate annotations for adherence to the style guide: correct vocabulary usage, spatial/directional accuracy, consistent terminology for objects and actions, and appropriate language variation (avoiding repetitive phrasing).
Requirements
Required: Excellent written English and strong reading comprehension — you'll be evaluating precise, nuanced language choices, not just checking for typos.Exceptional attention to detail — able to catch subtle mismatches between video content and written description (e.g., a mislabeled grasp type, an incorrect object part, a missed failure event).Strong grasp of spatial/mechanical description (left/right, above/below, object parts like handles, lids, edges) to verify annotator accuracy. Nice to Have: Prior experience in a QC, editing, proofreading, or annotation review role. Experience with video annotation, data labeling, or transcription QA specifically. Familiarity with robotics terminology (grippers, end-effectors, manipulation). Experience with annotation tools such as Label Studio, including review/approval workflows.