Remote Computer Vision Specialist – Video Annotation Expert

AI Trainer Jobs; United States; Remote; USD 69,000 - 124,000; Part time

Job summary

micro1 is a leading AI data lab that trains frontier models through expert contributions. The Computer Vision Specialist will review and annotate video footage from robotic systems, shaping how models learn and perform in real-time.

This remote contractor role emphasizes precise labeling, documenting observations, and collaborating with AI teams to refine protocols. No prior AI experience required—domain knowledge in computer vision and video analysis is key.

Qualifications

• Proven expertise in computer vision concepts and methodologies with hands-on video analysis experience.
• Experience annotating video content for machine learning datasets.
• Strong written and verbal documentation of findings and insights.

Responsibilities

• Review and analyze video footage from robotic systems to identify key visual features and anomalies.
• Annotate video content with precision, ensuring accurate labeling of objects, movements, and events.
• Provide detailed feedback to enhance dataset quality and consistency for ML applications.
• Collaborate with AI development teams to refine annotation protocols and contribute domain insights.
• Document observations and maintain meticulous records of annotation processes and outcomes.
• Participate in periodic reviews to ensure annotation accuracy and address edge cases.
• Identify potential improvements in video capture or annotation strategies based on data patterns.

Skills

Computer vision

Video analysis

Video annotation

Documentation

Remote collaboration

Robotics

Learning new standards

Tools

Video labeling tools

Job description

micro1 is a leading AI data lab that trains frontier models through expert contributions. The Computer Vision Specialist will review and annotate video footage from robotic systems, shaping how models learn and perform in real-time.

This remote contractor role emphasizes precise labeling, documenting observations, and collaborating with AI teams to refine protocols. No prior AI experience required—domain knowledge in computer vision and video analysis is key.