
3D Animator / Character Animator | $15-$80/hr Remote
Overview
A remote contractor role for a 3D animator and character animator focused on advanced annotation work that trains next generation AI systems. You’ll leverage your domain knowledge to provide precise hand and finger annotations that guide models in learning, reasoning, and performing tasks. This position emphasizes high-quality, guideline-driven input rather than prior AI experience, and centers on detailed, real-world data work.
What You'll Do6
- 1Mark hand and finger landmarks using MediaPipe style topology with strict accuracy and guidelines
- 2Identify and label anatomical joints such as the wrist, MCP, PIP, DIP, fingertips and thumb joints (CMC, MCP, IP)
- 3Place landmarks precisely according to defined protocols and tolerance thresholds
- 4Infer and annotate partially occluded or challenging joints by reasoning through complex hand poses and object interactions
- 5Interpret diverse hand poses and viewpoints to ensure consistent annotations across image and video data
- 6Review feedback, spot deviations from requirements, and apply targeted corrections to sustain annotation quality at scale
Requirements5
- 1Strong knowledge of hand anatomy and topology
- 2Experience with annotation protocols and accuracy standards
- 3Ability to reason through occlusions and complex hand interactions
- 4Familiarity with interpreting varied poses, orientations, and perspectives in images or videos
- 5Attention to detail and quality assurance mindset
Who Should Apply
The ideal candidate is a detail-oriented animator or annotator who can translate deep domain knowledge into precise labeled data. You should be comfortable working remotely on structured guidelines and capable of maintaining high consistency across large datasets to support AI training.
Salary Insight
Contract role with an hourly rate range of $15-$80/hr.
Location
Required Skills
Application Tip
Set up a personal checklist before starting tasks: verify landmark placement against tolerance thresholds, review a sample frame, and note any recurring annotation challenges to address in future passes.
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