Video Data Annotator - Remote

YO AI Labs; Washington (District of Columbia); Remote; USD 28,000 - 55,000; Part time

Job summary

YO AI Labs is seeking a detail-oriented Video Annotation Specialist to review and tag videos of robotic arms performing tasks, creating labeled, structured data for AI/machine-learning projects. The role is contract-based and remote, requiring careful attention to guidelines, reliable collaboration, and accuracy in labeling actions, events, and outcomes.

Experience with AI or robotics projects is a plus. Strong time-management and communication skills are important to meet project milestones and

Qualifications

• What you will do includes reviewing videos and labeling key actions, events and outcomes.
• Accuracy and consistency across annotations is required.
• Familiarity with video annotation tools is expected.
• Experience with AI/robotics projects is a plus.

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.

Skills

Video annotation

Data labeling

Attention to detail

Communication

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.