Video Annotation Specialist, iMerit (Remote)
Reviewed and corrected AI-generated video annotations on short clips while ensuring precise timing and label correctness. Annotated action/event labels, left/right identification, driver behavior, and surveillance-related attributes for robotics and computer vision ML pipelines. Evaluated model outputs against written rubrics to identify inconsistencies, instruction-following issues, and label accuracy gaps. • Corrected AI video annotations on 45-second clips • Tracked frame-by-frame labels with precise timestamps • Assessed accuracy vs detailed written rubrics • Maintained 96%+ task acceptance rate daily