Apply your character-animation and anatomy expertise to an advanced AI training-data project. You will analyze image and video content to create precise hand and finger landmark annotations that help improve how AI systems interpret complex hand positions and interactions. Previous AI experience is not required.

• Annotate hand and finger landmarks using MediaPipe-style hand topology while following defined protocols and tolerance thresholds.
• Identify and label anatomical joints, including the wrist, MCP, PIP, DIP, fingertips, and thumb-specific CMC, MCP, IP, and thumb-tip landmarks.
• Use visual reasoning to infer and accurately label partially occluded or difficult-to-see joints and landmarks.
• Interpret varied hand poses, orientations, perspectives, and object interactions across image and video data.
• Review visual feedback, identify deviations from requirements, and make targeted corrections to maintain annotation quality.

• Strong knowledge of hand anatomy and joint structure.
• Experience or demonstrated capability in annotation, image and video analysis, and quality assurance.
• Familiarity with MediaPipe-style hand topology.
• Excellent attention to detail, visual reasoning skills, and ability to follow detailed guidelines.

• Remote contract engagement.

• $15 to $80 per hour.