Computer Vision Data Annotation Specialist

https://jobs.micro1.ai/post/9b9ff061-8997-4c86-87df-c8c49caed5f2?referralCode=1761f2a1-0970-4c4f-a273-a1b557d5ad9f&utm_source=referral&utm_medium=share&utm_campaign=job_referral

Role Type: Contractor


Location: Northern America, Latin America, Europe



Scope of Work

Review and annotate images and video frames, focusing on detailed hand pose landmarks including wrists, finger joints, and fingertips.
Validate the accurate identification of left and right hands in diverse scenarios.
Detect, flag, and document edge cases such as occlusion, motion blur, gloves, multiple hands, and low-light conditions.
Apply thorough annotation guidelines and quality rubrics to ensure data reliability and consistency.
Maintain high accuracy and productivity when managing large datasets for computer vision training.
Report ambiguous, challenging, or unclear cases to project leads for clarification and guidance.
Perform quality assurance reviews on previously annotated data as needed.


Preferred Qualifications

Proven experience in image or video annotation for machine learning or AI projects.
Proficiency with annotation platforms.
Strong attention to detail, spatial reasoning, and ability to follow intricate visual guidelines.
Basic familiarity with computer vision concepts such as landmarks, bounding boxes, confidence scores, and ground truth labeling.
Experience with hand or human pose estimation datasets, or frameworks.
Background working on gesture recognition, sign language, AR/VR hand-tracking, or related datasets.
Excellent written and verbal English communication skills for documenting findings and collaborating remotely.