YO AI Labs

Video Annotation Specialist - Remote

Austin, Texas, US

Role snapshot

YO AI Labs is hiring a Video Annotation Specialist - Remote on a full-time basis. This is a remote role open to candidates in US.

Company
YO AI Labs
Location
Austin, Texas, US
Work mode
Remote
Job type
Full-time
Posted
Nov 2, 2026

Who this role suits

The listing does not state a required experience level here. Read the requirements in the description below and apply if they match your background.

How to prepare your application

  • Match your résumé to the requirements in the description, using the same wording where it is honest to do so.
  • Prepare a short example for each requirement you meet, and be ready to explain any you only partly meet.
  • Read what YO AI Labs publishes about its product or team, so you can say clearly why this role and this company.
  • For remote roles, show that you communicate clearly in writing and can work without close supervision.

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About the role

Job Description

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.