Okoro Victor

Reviewed robotic-arm/task footage and other training media, applying detailed annotation guidelines across video and image-based tasks. Tagged key events with frame-accurate timestamps, segmented sequences consistently, and corrected timestamp drift between labeled events and source video to maintain alignment. Provided structured feedback to help calibrate labeling instructions and timestamp conventions for incoming cohorts while meeting daily throughput and accuracy targets.

Annotated high volumes of video, text, and image data using strict style guides and frame-level accuracy benchmarks. Performed event segmentation and timecode-based tagging, cross-checking timestamps for consistency across extended sessions. Conducted quality-control reviews of peer annotations, flagging inconsistencies and incorporating reviewer feedback to raise overall labeling quality.