AI Data Labeler

📋 Description

• Label images and video with bounding boxes, polygons, masks, and SKU classifications.
• Annotate edge cases: occlusion, overlaps, glare, motion blur.
• Maintain labeling taxonomy and guidelines across data.
• Tag training, validation, and test data for model development and evaluation.
• QA: Compare predictions to ground-truth and log failures.
• Validate captures: lighting, blur, color shifts; collaborate with engineers.

🎯 Requirements

• 2+ years labeling data for computer vision, robotics, autonomous vehicles, or medical imaging
• Attention to detail and tolerance for repetitive, precision work
• Experience with CV labeling tools: CVAT, Labelbox, SuperAnnotate, Scale
• Comfort following detailed written guidelines and documenting ambiguous cases
• Strong written communication for QA reports and Slack updates
• Comfortable with images/video from devices and visual edge cases

🎁 Benefits

• Remote-friendly culture
• Flexible hours
• Short-term contract engagement (4–8 weeks)
• Part-time contractor role
• Opportunity to work with an AI/Computer Vision team