Image labeling specialist
Label objects in images (e.g., people, cars) using boxes/tags to create training data. Tasks performed: Draw bounding boxes, assign correct labels, ensure full object coverage. project size: 1,000–10,000 images for consistency and manageable QA. Quality measures: High accuracy, tight boxes, correct labels, consistency across dataset, follow guidelines.