Remote Computer Vision Annotator (Contractor)

YO AI Labs; New York (NY); Remote; USD 34,000 - 72,000; Full time

Job summary

YO AI Labs is seeking a Computer Vision Specialist on a remote contract to support AI training for robotic systems. You will analyze and annotate video data, identify visual features, and provide feedback to improve machine learning datasets.

Strong background in computer vision or video annotation is preferred, with experience in labeling tools and dataset preparation. Excellent communication and independent work in a remote setting are essential.

Qualifications

• Experience with computer vision, video analysis, or video annotation.
• Familiarity with video labeling and dataset preparation tools.
• Strong analytical and attention-to-detail skills.
• Excellent written and verbal communication.
• Ability to work independently in a remote environment.
• Experience with robotics or autonomous systems is a plus.
• Adaptability to evolving annotation guidelines and project requirements.

Responsibilities

• Review and analyze robotic system video footage.
• Annotate objects, movements, events, and visual features accurately.
• Identify anomalies and edge cases in video content.
• Provide feedback to improve dataset quality and consistency.
• Collaborate with AI teams to refine annotation guidelines.
• Document observations and annotation results.
• Participate in quality reviews and resolve ambiguous cases.
• Suggest improvements to video capture and annotation processes.

Skills

Computer vision

Video analysis

Video annotation

Remote work

Analytical thinking

Communication

Tools

Video labeling tools

Dataset preparation tools

Job description

YO AI Labs is seeking a Computer Vision Specialist on a remote contract to support AI training for robotic systems. You will analyze and annotate video data, identify visual features, and provide feedback to improve machine learning datasets.

Strong background in computer vision or video annotation is preferred, with experience in labeling tools and dataset preparation. Excellent communication and independent work in a remote setting are essential.