Anatomy / Medicine / Physiotherapy Student | Farooq77 Jobs | Farooq77

micro1 is engaging Anatomy / Medicine / Physiotherapy Students to contribute specialized knowledge to 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.

This opportunity focuses on accurately annotating hand and finger landmarks in image and video data using MediaPipe-style hand topology and applying anatomical knowledge to complex poses, occlusions, and object interactions.

Remote contractor role. Compensation: $15-$80/hour.

Responsibilities

• Annotate hand and finger landmarks and keypoints using MediaPipe-style hand topology, ensuring accuracy and adherence to strict guidelines.
• Identify and mark anatomical joints including the wrist, MCP, PIP, DIP, fingertips, and thumb-specific joints such as CMC, MCP, IP, and thumb tip.
• Precisely place anatomical landmarks according to defined annotation protocols and specified tolerance thresholds.
• Infer and accurately annotate partially occluded or visually challenging joints and landmarks by 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 project requirements, and make targeted corrections to maintain annotation quality at scale.

Requirements

• Current studies or academic background in anatomy, medicine, physiotherapy, physical therapy, or a closely related discipline.
• Strong understanding of human anatomy, particularly the anatomy and joint structure of the hands and fingers.
• Ability to identify anatomical landmarks including the wrist, MCP, PIP, DIP, CMC, IP, fingertips, and thumb tip.
• Strong attention to detail and ability to follow precise annotation protocols, guidelines, and tolerance requirements.
• Excellent visual reasoning skills for interpreting complex hand poses, orientations, perspectives, and partially occluded joints.
• Ability to analyze image and video data accurately and consistently.
• Understanding of MediaPipe-style hand topology or ability to quickly learn structured hand landmark annotation conventions.

Skills

• Anatomy
• Medicine
• Physiotherapy
• Data Annotation
• MediaPipe Hand Topology
• Hand Anatomy
• Anatomical Landmark Annotation
• Attention to Detail
• Visual Reasoning
• Image Analysis
• Video Analysis
• Quality Assurance
• Annotation Protocols
• Keypoint Annotation

Benefits

• Remote contractor opportunity
• Opportunity for anatomy, medicine, and physiotherapy students to contribute specialized knowledge
• Contribute to next-generation AI and computer vision training
• Work on advanced image and video annotation involving human hand anatomy
• No prior AI experience required
• Apply academic anatomical knowledge to real-world AI training datasets