micro1 is seeking Anatomy, Medicine, or Physiotherapy students to contribute specialized knowledge to an advanced annotation project. In this role, you will apply your academic expertise to help train next-generation AI systems, ensuring that models learn and reason through high-quality, real-world anatomical input.
Key responsibilities
- Annotate hand and finger landmarks using MediaPipe-style hand topology while ensuring strict adherence to project guidelines.
- Identify and mark anatomical joints, including the wrist, MCP, PIP, DIP, and various thumb-specific joints.
- Precisely place landmarks following defined annotation protocols and specified tolerance thresholds.
- Infer and accurately annotate partially occluded or visually challenging joints by reasoning through complex hand positions.
- Review visual feedback and make targeted corrections to maintain high annotation quality at scale.
Requirements
- Current enrollment in an Anatomy, Medicine, or Physiotherapy program.
- Strong understanding of human hand anatomy and joint structures.
- High attention to detail and ability to follow precise technical instructions.
- Ability to interpret diverse hand poses, orientations, and perspectives.
What we offer
- The opportunity to apply academic domain knowledge to cutting-edge AI development.
- A fully remote working environment that offers flexibility for students.
- Engagement in a specialized project that shapes the future of machine learning models.