Kinesiologist / Biomechanics Specialist

Requirements

• Expertise in hand and finger anatomyMust
• Knowledge of anatomical joints (wrist, MCP, PIP, DIP, fingertips, thumb joints)Must
• Understanding of MediaPipe-style hand topology and keypoint annotationMust
• Reasoning through complex hand positions and object interactionsMust
• Attention to detail and accuracy in visual annotation workMust
• Ability to work independently as a contractorMust

What you'll do

• Annotate hand and finger landmarks and keypoints
• Mark anatomical joints with precision and accuracy
• Follow strict annotation guidelines and protocols
• Place landmarks within defined tolerance thresholds
• Infer and annotate partially occluded or visually challenging joints
• Interpret hand poses, orientations, and perspectives across varied data
• Review visual feedback and identify deviations from requirements
• Make targeted corrections to maintain annotation quality at scale

Keywords

About the role

Role Title: Kinesiologist / Biomechanics Specialist Role Type: Contractor Location: Remote micro1 is engaging Kinesiologist / Biomechanics Specialist 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 • 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. • Interpret a wide range of hand poses, orientations, and perspectives to ensure consistent and high-quality annotations across varied image and video data. • Review visual feedback, identify deviations from requirements, and make targeted corrections to maintain annotation quality at scale. Originally posted on Himalayas