Video Data Annotator (Atlas Capture, project-based)
Annotated user-submitted multimedia (video) data according to predefined annotation and validation criteria. Verified content accuracy, relevance, and compliance with platform guidelines while flagging inconsistencies to improve dataset reliability. Produced structured assessments using internal dashboards and feedback loops to support AI training quality. • Reviewed and annotated video data for accuracy and guideline compliance • Flagged inconsistencies that impact AI training dataset reliability • Followed predefined criteria for structured assessments • Tracked progress and performance metrics in internal dashboards