Anatomy, Medicine, or Physiotherapy Student for AI Annotation

Apply your anatomy knowledge to annotate hand and finger landmarks in image and video data, helping improve next-generation AI systems through precise, high-quality visual analysis.

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

• Current student in anatomy, medicine, physiotherapy, or a related field with strong anatomy expertise.
• Excellent attention to detail, visual reasoning, and image and video analysis skills.
• Ability to follow protocols and guidelines precisely and perform quality assurance work.
• Experience with annotation or MediaPipe-style hand topology is relevant; prior AI experience is not required.

• Remote, independent contractor engagement.

• $15 to $80 per hour.