Radiologist AI Model Training

Apply radiology and anatomy expertise to annotate hand and finger landmarks in image and video data, helping train advanced AI systems through precise, protocol-driven visual analysis. This remote contract role focuses on producing consistent, high-quality annotations across complex hand poses, perspectives, and object interactions. No prior AI experience is required.

• Annotate hand and finger landmarks using Media Pipe-style hand topology.
• Identify and label the wrist, MCP, PIP, DIP, fingertips, and thumb-specific CMC, MCP, IP, and thumb-tip joints.
• Place landmarks in accordance with defined annotation protocols and tolerance thresholds.
• Infer and annotate joints or landmarks that are partially occluded or visually challenging.
• 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 quality at scale.

• Radiology background with strong anatomy expertise.
• Exceptional attention to detail, visual reasoning, and image and video analysis skills.
• Ability to follow detailed protocols, guidelines, and quality-assurance requirements.
• Familiarity with annotation work and Media Pipe-style hand topology is relevant to the assignment.

Remote contract engagement.

$15 to $80 per hour.