Data Labeling Expert - Remote

YO AI Labs

Los Angeles (CA)

Remote

USD 28,000 - 55,000

Part time

13 days ago
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Job summary

YO AI Labs is seeking a detail-oriented Video Annotation Specialist for a remote contractor role. You will review videos of robotic arms, annotate actions, and ensure high-quality, structured data for AI/ML projects.

Ideal candidates have experience in video annotation or data labeling, strong attention to detail, and familiarity with annotation tools. Collaboration and timely delivery are essential.

Qualifications

  • Experience in video annotation, data labeling, or similar work.
  • Excellent attention to detail and accuracy.
  • Familiarity with video annotation tools.
  • Strong written communication and collaboration skills.
  • 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, 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
Tools familiarity
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.
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