Computer Vision Engineer - Remote

YO AI Labs; New York (NY); Remote; USD 65,000 - 95,000; Part time

Job summary

YO AI Labs seeks a Computer Vision Specialist on a contract basis to support an AI training project involving robotic systems. You will analyze and annotate video data, identify visual features and events, and provide feedback to improve machine learning datasets.

This remote role requires strong attention to detail and the ability to work independently. Experience with robotics is a plus, but not required.

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 annotation

Dataset preparation

Analytical thinking

Remote work

Job description

Role Title: Computer Vision Specialist
Role Type: Contractor
Location: Remote

Job Summary

We are looking for Computer Vision Specialists to support an AI training project involving robotic systems. You'll analyze and annotate video data, identify visual features and events, and provide accurate feedback to improve machine learning datasets. AI experience is not required.

Scope of Work

• 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.

Preferred 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.