Analytical AI Data Annotator — Atlas Capture Project (Remote/Contract)
Performed high-precision egocentric (first-person) video annotation using strict atomic-action criteria and detailed edge-case guidelines. Met quality and accuracy targets across demanding data batches to support production-ready training datasets. Adapted quickly to updated labeling guidelines within a structured data workflow and feedback loop.• Egocentric video analysis with atomic-action segmentation• Quality assurance cross-checking to minimize noise and edge-case errors• Rapid guideline interpretation and compliance• Consistent throughput while maintaining top-tier label quality