Video Content Moderator - Remote

YO AI Labs; Austin (TX); Remote; USD 39,000 - 73,000; Full time

Job summary

YO AI Labs seeks a detail-oriented Video Annotation Specialist (contractor) to review and annotate videos of robotic arms and AI-related tasks. You will label actions and outcomes, following project guidelines.

This remote position emphasizes accuracy, collaboration, and timely delivery, with experience in video annotation tools and a background in AI/ML or robotics considered a plus.

Qualifications

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

Responsibilities

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

Skills

Video annotation

Data labeling

Attention to detail

Annotation tools

Written communication

Time management

AI/ML/Robotics experience

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.