Video Data Annotator at Micro1 (Video Data Annotation — Robotics & Computer Vision)
Annotate and review model-generated video data to support robotics and computer vision training pipelines. Validate and correct captions to ensure each label describes a single independent action aligned with on-screen activity. Detect model artifacts such as repeated patterns, mislabelled actions, and ambiguous annotations while flagging edge cases for rework and guideline improvement.• Annotated 8,000+ videos with consistent adherence to rubric standards.• Verified left vs right hand usage across annotated segments.• Documented ambiguous and mislabelled actions to improve annotation guidelines.• Delivered against tight project deadlines while maintaining annotation quality.