Senior Video Annotation Specialist - Remote

YO AI Labs

København

Remote

DKK 268,000 - 535,000

Part time

11 days ago
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Job summary

YO AI Labs is seeking a Senior AI Trainer for a remote contractor role focused on expert-level video annotation and data labeling. You will review robotic-arm footage, tag events, and provide precise timestamps to support AI model training.

No prior AI experience is required, but strong attention to detail, communication skills, and the ability to work independently in a remote setting are essential. Join a distributed team delivering high-quality datasets for model improvements.

Qualifications

  • Excellent attention to detail and accuracy when reviewing visual data.
  • Strong written and verbal communication skills.
  • Excellent time management and ability to work independently in a remote environment.
  • Analytical and problem-solving mindset.

Responsibilities

  • Review robotic-arm videos and identify key actions, events, and outcomes.
  • Apply detailed guidelines to tag and annotate video events accurately.
  • Mark precise start and end timestamps for actions, transitions, and outcomes.
  • Verify annotations for timing accuracy and correct inconsistencies or drift.
  • Use video annotation tools to create and submit high-quality datasets.
  • Collaborate with project teams to resolve ambiguities and maintain annotation consistency.
  • Participate in quality reviews and incorporate feedback to maintain standards.

Skills

Attention to detail
Strong communication
Independent work
Analytical mindset
Video annotation experience
Data labeling
Time management
AI training background

Job description

YO AI Labs is seeking a Senior AI Trainer for a remote contractor role focused on expert-level video annotation and data labeling. You will review robotic-arm footage, tag events, and provide precise timestamps to support AI model training.

No prior AI experience is required, but strong attention to detail, communication skills, and the ability to work independently in a remote setting are essential. Join a distributed team delivering high-quality datasets for model improvements.

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