Reviewer, Egocentric Video Annotation Quality Assurance
This role involved meticulous quality assurance of text and spatial annotations within complex egocentric video workflows. I reviewed and corrected detailed segment-by-segment action labels, ensuring each physical and spatial task was accurately represented for AI model development. My work focused on verifying main actions, interactions, and precise temporal segmentation to create high-fidelity datasets. • Conducted accuracy checks for egos' main actions and object interactions. • Adjusted and validated precise timestamps for individual action segments. • Maintained exemplary quality standards and achieved Tier 3 reviewer status. • Ensured strict adherence to project labeling and annotation guidelines.