Perform image segmentation and object labeling for computer vision datasets using polygons, bounding boxes, and semantic segmentation. Follow annotation guidelines, complete quality checks, meet daily productivity targets, communicate unclear tasks to team leads, and suggest workflow improvements. Work remotely with datasets involving roads, vehicles, satellite imagery, blueprints, roofing, and related visual content.

Reviews and annotates video content by identifying objects, people, actions, events, and visual details for AI training. Follows project guidelines, checks annotation quality, corrects inconsistencies, flags unclear content, meets productivity targets, and adapts to updated requirements. The role requires independent, detail-focused work, strong written English comprehension, basic computer skills, reliable internet, and personally provided equipment suitable for video annotation.

Perform image segmentation and object labeling using polygons, bounding boxes, and semantic segmentation. Annotate datasets involving roads, vehicles, satellite imagery, blueprints, and roofing while meeting accuracy and productivity targets. Follow QA guidelines, collaborate with team leads to resolve unclear tasks, and suggest workflow improvements. The role includes structured remote training and is suitable for candidates with basic computer skills and no prior annotation experience.