Kinesiologist / Biomechanics Specialist

Micro1; India; Remote; INR 964,000 - 1,240,000; Part time

Job summary

Cashback24x7 is seeking a Kinesiologist / Biomechanics Specialist on a contract basis to annotate hand landmarks for advanced AI training projects. You will apply deep domain knowledge to label hand anatomy and keypoints with precision, influencing how models learn and reason about human motion.

No prior AI experience is required; your domain knowledge is the differentiator and essential to producing high-quality data for real-world applications.

Qualifications

• Domain knowledge in kinesiology/biomechanics required.
• Ability to annotate hand landmarks with high accuracy.

Responsibilities

• Annotate hand and finger landmarks using defined topology.
• Identify and mark joints including wrist, MCP, PIP, DIP, thumb joints (CMC, MCP, IP).
• Place landmarks following annotation protocols and tolerance thresholds.
• Infer occluded or challenging joints and landmarks with reasoned approach.
• Interpret varied hand poses and perspectives for consistent annotations.
• Review feedback and correct deviations to maintain quality at scale.

Skills

Kinesiology

Biomechanics

Hand anatomy

MediaPipe-style

Tools

MediaPipe-style topology

Job description

Job Description

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.