Data Annotation Specialist — Atlas Capture (Remote)
Created computer-vision annotations including bounding boxes, keypoints, polygons, and semantic segmentation masks for training datasets. Labeled multimodal data spanning image, audio, and video to support perception and recognition AI systems. Conducted thorough quality checks on peer annotations to maintain dataset integrity and consistency standards. • Applied labeling taxonomies accurately with minimal error rates • Performed precise object annotation for CV model training • Verified annotation quality through peer review • Adapted quickly to new project guidelines and tools