Freelance Data Annotator — frame-level video annotations and QA (Atlas Capture)
Created frame-level video annotations to train robotic systems on human motion and task execution. Validated and refined video label accuracy within Atlas Capture to maintain alignment with project-specific annotation guides. Conducted QA to identify inconsistencies in image and video labels and improve model training quality. • Frame-level video annotation for robotic learning • Video label validation/refinement in Atlas Capture • QA review of image/video dataset consistency • Supporting human motion and task execution training