Computer Vision Data Annotation Specialist

**Location:** Northern America, Latin America, Europe **Duration:** Contractor **Overview** Join a project advancing hand tracking and pose estimation technologies by contributing your expertise to train next-generation AI systems. In this contractor role, you'll apply your domain knowledge to 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. **Key Responsibilities** - 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