Anatomy / Medicine / Physiotherapy Student

About this role

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.

Hand Landmark Annotation & Keypoint Labeling Specialist

Responsibilities

• Annotate hand and finger landmarks/keypoints using MediaPipe-style hand topology, ensuring accuracy and adherence to strict guidelines.
• 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).
• Precisely place landmarks following defined annotation protocols and specified tolerance thresholds.
• Infer and accurately annotate partially occluded or visually challenging joints and landmarks, reasoning through complex hand positions and object interactions.

Qualifications

• Experience in hand landmark annotation, keypoint labeling, or computer vision data annotation.
• Strong understanding of hand anatomy, MediaPipe-style topology, and diverse hand poses and orientations.
• Exceptional visual accuracy and attention to detail when annotating occluded or complex hand landmarks.