Kinesiologist / Biomechanics Specialist | $15-$80/hr Remote
Overview
A remote contractor role focused on applying biomechanics expertise to high-quality hand annotation for AI training. You’ll map hand and finger landmarks, reason through complex poses, and ensure precise labeling that improves model understanding. Expect a detailed, protocol-driven workflow that values domain knowledge over AI experience. This work helps shape how future systems learn to recognize hand movements and interactions.
What You'll Do6
- 1Annotate hand and finger landmarks using a MediaPipe style topology with strict accuracy and adherence to guidelines
- 2Mark anatomical joints such as the wrist, MCP, PIP, DIP and thumb specific joints (CMC, MCP, IP, thumb tip) with precision
- 3Place landmarks according to defined protocols and tolerance thresholds
- 4Infer and annotate partially occluded or challenging joints by reasoning through hand positions and object interactions
- 5Interpret diverse hand poses and perspectives to maintain consistency across image and video data
- 6Review feedback, spot deviations from requirements, and apply corrections to sustain high-quality annotations at scale
Requirements5
- 1Background in anatomy and biomechanics with strong visual reasoning
- 2Experience analyzing images and videos and performing quality assurance tasks
- 3Ability to identify and annotate hand landmarks and joints with high accuracy
- 4Familiarity with MediaPipe style hand topology or similar annotation frameworks
- 5Attention to detail and capability to follow established protocols and guidelines
Who Should Apply
You are a detail-oriented expert with solid knowledge of hand anatomy who enjoys converting complex poses into precise annotations. You should thrive in a remote contractor setup, value rigorous guidelines, and want to influence AI training data through high-quality real-world inputs.
Salary Insight
Pay range listed: $15-$80/hr.
Location
Required Skills
Application Tip
Showcase a concise portfolio snippet or workflow you’ve used to annotate hand landmarks, emphasizing accuracy, tolerance handling, and any QA steps you’ve implemented.
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