Help improve hand-tracking and pose-estimation AI by producing reliable visual training data. This contract role focuses on precise annotation of hand landmarks in images and video, supporting next-generation computer vision systems. Prior AI experience is not required.

• Review and annotate images and video frames, identifying hand-pose landmarks including wrists, finger joints, and fingertips.
• Accurately distinguish left and right hands across varied scenarios.
• Identify, flag, and document edge cases, including occlusion, motion blur, gloves, multiple hands, and low-light conditions.
• Follow detailed annotation guidelines and quality rubrics to maintain reliable, consistent data.
• Maintain strong accuracy and productivity while working with large computer vision datasets.
• Escalate ambiguous or challenging cases for clarification and perform quality-assurance reviews of previously annotated data when needed.

• Experience annotating images or video for machine-learning or AI projects is preferred.
• Proficiency with annotation platforms.
• Strong attention to detail, spatial reasoning, and ability to follow complex visual instructions.
• Basic familiarity with computer vision concepts such as landmarks, bounding boxes, confidence scores, and ground-truth labels.
• Experience with hand or human-pose estimation datasets or frameworks is preferred.
• Background in gesture recognition, sign language, AR/VR hand tracking, or related datasets is valued.
• Excellent written and spoken English skills for documenting findings and collaborating remotely.

• Independent contractor engagement.
• Open to candidates located in Northern America, Latin America, or Europe.

$21 to $70 per hour.