Video Data Reviewer - Remote

YO AI Labs; North Carolina; Remote; USD 21,000 - 34,000; Full time

Job summary

YO AI Labs is seeking a Remote Video Annotation Specialist to review and label videos of robotic arms for AI/ML projects. This contractor role emphasizes accuracy, attention to detail, and timely collaboration with the team.

You will identify key actions, annotate data with project guidelines, and ensure consistent quality across datasets. Strong communication and organization help you succeed in a fast-paced environment.

Qualifications

• Experience in video annotation, data labeling, or similar work.
• Strong attention to detail and accuracy.
• Familiarity with video annotation tools.
• Good written communication and collaboration skills.
• Strong time-management and organizational abilities.
• Experience with AI, ML, or robotics projects is a plus.

Responsibilities

• Review videos to identify key actions, events, and outcomes.
• Annotate and label video content according to project guidelines.
• Use annotation tools to create accurate, structured datasets.
• Maintain consistency and accuracy across annotations.
• Collaborate with team to resolve unclear cases.
• Participate in quality checks and incorporate feedback.

Skills

Attention to detail

Time management

Collaboration

Written communication

AI experience

Tools

Video annotation tools

Job description

Video Annotation Specialist

Job Type: Contractor
Location: Remote

Role Overview

We are looking for detail-oriented Video Annotation Specialists to review and annotate videos of robotic arms performing various tasks. The role involves accurate video labeling and structured data annotation to support AI and machine-learning projects.

Key Responsibilities

• Review videos and identify key actions, events, and outcomes.
• Annotate and label video content according to project guidelines.
• Use video annotation tools to create accurate, structured datasets.
• Maintain consistency and accuracy across annotations.
• Collaborate with team members to resolve unclear cases.
• Participate in quality checks and incorporate feedback.

Requirements

• Experience in video annotation, data labeling, or similar work preferred.
• Strong attention to detail and accuracy.
• Familiarity with video annotation tools.
• Good written communication and collaboration skills.
• Strong time-management and organizational abilities.
• Experience with AI, machine learning, or robotics projects is a plus.