Computer Vision Specialist

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

Computer Vision Specialist
$50 - $90/hour
pay
Required Skills
Computer Vision
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Computer Vision Specialist

Role Type: Contractor

Location: Remote

micro1 is engaging Computer Vision Specialists to collaborate on a dynamic project for a valued customer. 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 analyze video footage captured from robotic systems to identify key visual features and anomalies.
• Annotate video content with precision, ensuring accurate labeling and categorization of objects, movements, and events.
• Provide detailed feedback to enhance the quality and consistency of video-based datasets for machine learning 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 ambiguities or edge cases.
• Identify potential improvements in video capture or annotation strategies based on observed data patterns.

Preferred Qualifications

• Proven expertise in computer vision concepts and methodologies, with hands-on experience in video analysis or annotation tasks.
• Familiarity with tools and platforms commonly used for video labeling, annotation, or dataset preparation.
• Excellent written and verbal communication skills, with a strong ability to document findings and articulate technical insights.
• Attention to detail and commitment to producing high-quality, consistent annotations.
• Ability to work independently and manage deliverables within a remote, collaborative project environment.
• Experience with robotics, autonomous systems, or related domains is a plus.
• Adaptability and willingness to learn new annotation standards or contribute to evolving project needs.