Data Annotation Specialist, AtlasCapture (Video evaluator/annotation specialist supporting AI video dataset creation)
Evaluated AI-generated video content for quality, coherence, and realism while performing dataset quality assurance checks. Reviewed motion accuracy, object consistency, and visual artifacts to flag defects and improve labeling accuracy. Documented findings to support AI video generation model improvements. • Quality assurance and evaluation of AI video outputs • Categorization and labeling of video data for ML training • Structured feedback on realism, motion, and coherence issues • Recording evaluation results in spreadsheets and web-based tools