Senior Data Labeling Analyst
Led a team to label LiDAR frames for autonomous vehicle perception models, driving high inter-annotator agreement rates. Developed a decision-tree guide to address ambiguous cases, reducing pixel-level segmentation errors. Conducted daily annotation audits, improving junior labeler performance. • Weekly labeling throughput exceeded 10,000 LiDAR frames. • QA workflows resulted in 99.2% agreement scores. • Provided feedback that raised junior accuracy by 18% in 2 months. • Used CVAT and Scale AI for annotation tasks.