Anatomy / Medicine / Physiotherapy Student

micro1 is engaging Anatomy / Medicine / Physiotherapy Students to contribute specialized knowledge on a customer’s advanced annotation project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

1. Annotate hand and finger landmarks/keypoints using MediaPipe-style hand topology, ensuring accuracy and adherence to strict guidelines.
2. Identify and mark anatomical joints, including the wrist, MCP (Metacarpophalangeal), PIP (Proximal Interphalangeal), DIP (Distal Interphalangeal), fingertips, and thumb-specific joints (CMC, MCP, IP, thumb tip).
3. Precisely place landmarks following defined annotation protocols and specified tolerance thresholds.
4. Infer and accurately annotate partially occluded or visually challenging joints and landmarks, reasoning through complex hand positions and object interactions.
5. Interpret a wide range of hand poses, orientations, and perspectives to ensure consistent and high-quality annotations across varied image and video data.
6. Review visual feedback, identify deviations from requirements, and make targeted corrections to maintain annotation quality at scale.