Data Annotator & Quality Reviewer — Atlas Capture (AI Training Data Platform)
Video
Action RecognitionResponsible for high-volume video annotation for AI training datasets including object labeling, activity recognition, and scene classification. Ensured labels followed detailed guidelines such as verb-form conventions, object naming standards, and dense versus coarse labeling distinctions across diverse video content. Maintained a consistently high accuracy rate across thousands of labeled episodes to support reliable ground-truth data for machine learning pipelines. • Annotated videos for activity recognition and scene classification tasks • Applied naming and labeling convention guidelines to ensure consistency • Reviewed and verified annotation quality prior to approval • Balanced throughput and accuracy to meet deadline and productivity requirements