Computer Vision Data Annotation Specialist

Role Title : Computer Vision Data Annotation Specialist

Role Type : Contractor

Location : Northern America, Latin America, Europe

micro1 is engaging Computer Vision Data Annotation Specialists to contribute to a project advancing hand tracking and pose estimation technologies. 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

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Review and annotate images and video frames, focusing on detailed hand pose landmarks including wrists, finger joints, and fingertips.

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Validate the accurate identification of left and right hands in diverse scenarios.

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Detect, flag, and document edge cases such as occlusion, motion blur, gloves, multiple hands, and low-light conditions.

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Apply thorough annotation guidelines and quality rubrics to ensure data reliability and consistency.

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Maintain high accuracy and productivity when managing large datasets for computer vision training.

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Report ambiguous, challenging, or unclear cases to project leads for clarification and guidance.

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Perform quality assurance reviews on previously annotated data as needed.

Preferred Qualifications

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Proven experience in image or video annotation for machine learning or AI projects.

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Proficiency with annotation platforms.

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Strong attention to detail, spatial reasoning, and ability to follow intricate visual guidelines.

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Basic familiarity with computer vision concepts such as landmarks, bounding boxes, confidence scores, and ground truth labeling.

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Experience with hand or human pose estimation datasets, or frameworks.

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Background working on gesture recognition, sign language, AR/VR hand-tracking, or related datasets.

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Excellent written and verbal English communication skills for documenting findings and collaborating remotely.

Originally posted on Himalayas