Senior Data Labeling Specialist | Scale AI / Appen / Lionbridge
Labeled 15,000+ images for autonomous vehicle training using bounding boxes and segmentation masks. Ensured high labeling quality with a 98% QA pass rate while meeting tight SLAs. Contributed to dataset accuracy through calibration and edge-case reporting. • Bounding box annotations for objects in street scenes • Segmentation mask creation for pixel-level labeling • QA checks to maintain high pass rates • Edge-case identification leading to guideline updates