High-Precision Visual Annotation: Performed multi-modal video and image annotation, spatial bounding, and temporal segment tagging to support machine learning and computer vision models.

Hierarchical Labeling & Quality Assurance: Applied multi-tier labeling standards (from high-level activity goals down to granular atomic motions) with strict precision, ensuring zero-gap timeline coverage across consecutive frames.

Served as a Data Contributor for Project Atlas Capture with Perle Labs, specializing in egocentric (first-person) video data collection and audio transcription for advanced AI and machine learning applications. Responsible for recording real-world task execution using head-mounted camera configurations, adhering strictly to technical standards for framing, spatial clarity, and continuity. In addition to visual data capture, performed accurate audio transcription to align multi-modal data streams for training computer vision and AI models."