Senior AI Video Annotation Specialist — Remote

YO AI Labs

Stockholms kommun

Remote

SEK 541,000 - 677,000

Full time

14 days+

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Job summary

YO AI Labs is seeking a Senior AI Trainer to support a remote, contractor-based project focused on expert-level video annotation and data labeling for AI systems. You will review robotic-arm footage, apply precise guidelines, and produce accurate annotations with timestamps to support model training.

No prior AI experience is required, but strong attention to detail, clear communication, and independent work in a remote setting are essential to deliver high-quality datasets and collaborate with

Qualifications

  • Excellent attention to detail 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
Communication
Time management
Independent work

Tools

Video annotation tools
Timeline labeling tools

Job description

YO AI Labs is seeking a Senior AI Trainer to support a remote, contractor-based project focused on expert-level video annotation and data labeling for AI systems. You will review robotic-arm footage, apply precise guidelines, and produce accurate annotations with timestamps to support model training.

No prior AI experience is required, but strong attention to detail, clear communication, and independent work in a remote setting are essential to deliver high-quality datasets and collaborate with

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