Computer Vision Data Annotation Specialist

micro1 is seeking a Computer Vision Data Annotation Specialist to join a project focused on advancing hand tracking and pose estimation technologies. You will play a critical role in training next-generation AI systems by providing high-quality, real-world input that helps models learn and reason effectively.

Key responsibilities

• Review and annotate images and video frames, focusing on detailed hand pose landmarks such as wrists, finger joints, and fingertips.
• Validate the accurate identification of left and right hands across a diverse range of scenarios.
• Detect, flag, and document complex edge cases including occlusion, motion blur, multiple hands, and low-light conditions.
• Apply rigorous annotation guidelines and quality rubrics to ensure data consistency and reliability.
• Maintain high levels of accuracy and productivity while managing large-scale datasets for computer vision training.

Requirements

• Proven experience in image or video annotation for machine learning or AI-driven projects.
• Strong attention to detail and excellent spatial reasoning abilities.
• Familiarity with computer vision concepts such as landmarks, bounding boxes, and ground truth labeling.
• Background working with hand or human pose estimation datasets or gesture recognition frameworks.
• Excellent written and verbal English communication skills for effective remote collaboration.

What we offer

• The opportunity to contribute to cutting-edge AI development in hand tracking and pose estimation.
• A fully remote work environment allowing you to collaborate with a global team.
• Engagement in a project that directly shapes the future of AI reasoning and performance.