Annotation Specialist
Contributed to a high-volume sensor fusion project for a leading autonomous vehicle manufacturer. Tasks included 3D cuboid annotation and object tracking across LiDAR and camera feeds to train perception models. Labeled over 50,000 frames for vehicles, pedestrians, and cyclists, strictly adhering to complex occlusion and truncation guidelines. Maintained a 98% QA accuracy score by performing continuous self-audits and applying feedback from client reviews.