Remote Computer Vision Annotator for Robotics

YO AI Labs; New York (NY); Remote; USD 55,000 - 83,000; Full time

Job summary

YO AI Labs is seeking a Computer Vision Specialist on a remote, contractor basis to analyze robotic-system videos and annotate critical visual features. You will review footage, tag objects and events, and provide precise feedback to improve AI training datasets.

Strong communication and independent work are required, with robotics knowledge considered a plus. The role emphasizes adapting to evolving guidelines, collaborating with AI teams, and documenting observations to support dataset quality

Qualifications

• Experience with computer vision or video annotation.
• Familiarity with labeling 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

Attention to detail

Communication

Remote work

Tools

Annotation tools

Job description

YO AI Labs is seeking a Computer Vision Specialist on a remote, contractor basis to analyze robotic-system videos and annotate critical visual features. You will review footage, tag objects and events, and provide precise feedback to improve AI training datasets.

Strong communication and independent work are required, with robotics knowledge considered a plus. The role emphasizes adapting to evolving guidelines, collaborating with AI teams, and documenting observations to support dataset quality