AI Image Labeling & Annotation Specialist (Remote Contract)
Annotated massive visual datasets for high-complexity computer vision models using bounding boxes, polygons, and semantic segmentation protocols. Performed thorough QA data audits to identify labeling orientation anomalies and improve training reliability. Collaborated with machine learning engineers to refine active annotation framework criteria and increase pipeline delivery speed. • Bounding boxes, polygon annotation, and semantic segmentation. • QA audits for orientation/anomaly detection and correction. • Iterative framework updates with ML engineering teams. • Domain-driven identification of nuanced visual patterns and edge cases.