Data Labeling Expert - Remote

YO AI Labs

Maryland

Remote

USD 21,000 - 34,000

Part time

13 days ago
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Job summary

YO AI Labs is seeking a detail-oriented Video Annotation Specialist to review and annotate videos of robotic arms performing tasks. This contractor role is remote, allowing flexible work hours for candidates across the United States.

You will label actions, events, and outcomes, ensure high-quality, structured datasets, and support AI/ML projects through careful data annotation and collaboration with the team.

Qualifications

  • Experience in video annotation or data labeling.
  • Strong attention to detail and accuracy.
  • Familiarity with video annotation tools.
  • Good written communication and collaboration skills.
  • 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
Time management
Written communication
Collaboration

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.
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