ContractRemoteExpired

Anatomy / Medicine / Physiotherapy Student

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.

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Salary

$15 - $80 / hour

Department

Anatomy & Medical Annotation

Experience

Student-level anatomy expertise

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.

Skills

AnatomyMedicinePhysiotherapyData AnnotationMediaPipe Hand TopologyHand AnatomyAnatomical Landmark AnnotationAttention to DetailVisual ReasoningImage AnalysisVideo AnalysisQuality AssuranceAnnotation ProtocolsKeypoint Annotation

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.

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

Anatomy / Medicine / Physiotherapy Student

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.

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