Computer Vision Data Annotation Specialist

Micro1; India; A distancia; INR 1.552.000 - 3.234.000; A tiempo parcial

Descripción de la vacante

Cashback24x7 is seeking a Computer Vision Data Annotation Specialist (Contractor) to annotate images and video frames for hand tracking and pose estimation. You will follow strict guidelines to ensure accurate labeling of left/right hands and handle edge cases like occlusion and motion blur.

The role supports remote collaboration across the globe and requires clear written and spoken English. Applicants should have proven experience in image/video annotation for ML projects and familiarity with

Formación

• Experience in image or video annotation for ML/AI projects.
• Ability to follow detailed annotation guidelines and quality rubrics.
• Strong written and verbal English communication for remote collaboration.
• Familiarity with computer vision concepts such as landmarks and ground truth labeling.

Responsabilidades

• Review and annotate images and video frames with hand pose landmarks.
• Validate left/right hand identification across diverse scenarios.
• Detect edge cases like occlusion, motion blur, gloves, multiple hands, and low light.
• Follow annotation guidelines and quality rubrics to ensure data reliability.
• Maintain high accuracy and productivity on large datasets for CV training.
• Flag ambiguous cases to project leads for clarification and guidance.
• Perform QA reviews on previously annotated data as needed.

Conocimientos

Image annotation

Video annotation

English communication

Attention to detail

Remote collaboration

Herramientas

Annotation platforms

Descripción del empleo

Job Description

Role Title: Computer Vision Data Annotation Specialist

Role Type: Contractor

Location: Northern America, Latin America, Europe

micro1 is engaging Computer Vision Data Annotation Specialists to contribute to a project advancing hand tracking and pose estimation technologies. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will 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.

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.