Computer Vision Data Annotation Specialist

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.