Video Content Moderator - Remote

YO AI Labs; Seattle (WA); Remote; USD 34,000 - 55,000; Full time

Job summary

You will join YO AI Labs as a Video Annotation Specialist, working remotely as a contractor to annotate robotic-arm video datasets. You will review footage, tag actions, events, and outcomes following project guidelines, and contribute to high-quality labeled data used in AI and robotics research.

This role emphasizes meticulous labeling, consistency across annotators, and proactive communication with the team to resolve ambiguities and improve annotation processes.

Qualifications

• Experience in video annotation or data labeling.
• Strong attention to detail and accuracy.
• Familiarity with video annotation tools.
• Good written communication and collaboration.
• Experience with AI/ML or 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

Collaboration

Time management

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.