Role Title: 3D Character Animation Artist

Role Type: Contractor

Location: Remote

micro1 is engaging 3D Character Animation Artists to contribute their expertise to a specialized customer project focused on hand and finger landmark annotation using MediaPipe-style hand topology. 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

1. Annotate hand and finger landmarks/keypoints on images or video frames, following strict MediaPipe-style hand topology and project guidelines.
2. Identify and accurately mark anatomical joints such as the wrist, MCP (Metacarpophalangeal), PIP (Proximal Interphalangeal), DIP (Distal Interphalangeal), and fingertips, as well as CMC and IP joints for thumbs.
3. Infer and place landmarks even when fingers or joints are partially occluded by objects, other fingers, or hand orientation.
4. Interpret and annotate hands presented from varied angles, rotations, poses, and perspectives with high visual-spatial accuracy.
5. Maintain consistent annotation quality across large volumes of data, adhering to defined tolerance thresholds.
6. Review visual feedback and revise annotations to meet stringent quality assurance standards.
7. Follow all established protocols and documentation processes throughout the assignment.

Preferred Qualifications

1. Demonstrated expertise in hand and finger anatomy or biomechanics, with a strong grasp of joint structure and articulation.
2. Background in 3D character animation, skeletal rigging, pose estimation, or computer vision annotation workflows.
3. Exceptional attention to visual detail, accuracy, and consistency in repetitive, precision-driven tasks.
4. Advanced visual-spatial reasoning and the ability to accurately interpret partially visible or occluded anatomical landmarks.
5. Experience in annotating keypoints, skeletons, or performing quality control on visual datasets is highly desirable.
6. Ability to rapidly learn and adhere to detailed annotation protocols and technical guidelines.
7. Track record of quality assurance, data review, or annotation correction in animation, computer vision, or related fields.