Video Data Annotator - Remote

YO AI Labs

Houston (TX)

Remoto

USD 28.000 - 41.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

YO AI Labs is seeking a detail-oriented Video Annotation Specialist to review and annotate videos of robotic arms for AI and machine-learning projects. This contractor role is remote and focused on high-quality labeled data. You will identify key actions, label content per guidelines, and use annotation tools.

Strong attention to detail, clear written communication, and timely delivery are essential. Experience with AI/ML or robotics is a plus.

Competenze

  • Experience in video annotation, data labeling, or similar work.
  • 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.

Mansioni

  • 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.

Conoscenze

Video annotation
Data labeling
Attention to detail
Annotation tools
Communication skills
Time management
AI/ML/robotics experience

Descrizione del lavoro

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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