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Open nowPosted 44 days ago

Senior AI Trainer, Remote - Contract

xperteez231 open roles

Where
International
Work mode
Remote
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Your applicationOpen nowSenior AI Trainer, Remote - Contractxperteez · International
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  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 44 days ago

The posting

Role Title: Senior AI Trainer

Role Type: Contractor

Location: Remote

Required Skills

  • Video Annotation
  • Attention to Detail
  • Data Labeling
  • Video Annotation Tools
  • Time Management

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities:

  • Review video footage of robotic arms executing assigned tasks, identifying key actions and outcomes with precision.
  • Apply detailed grading guidelines to accurately tag and annotate events, providing structured observations that improve model performance.
  • Mark precise timestamps for the start and end of key actions, transitions, and outcomes, ensuring frame-accurate segmentation of each video session.
  • Verify timestamp accuracy and alignment across annotations, correcting drift or inconsistencies between labeled events and the underlying footage.
  • Utilize video annotation tools and platforms to record findings and submit annotated datasets in alignment with project standards and milestones.
  • Collaborate with project trainers and contributors to resolve ambiguities, refine guidelines, and ensure annotation consistency across the team.
  • Participate in ongoing quality reviews, incorporating feedback to maintain rigorous annotation standards.

Required Skills and Qualifications:

  • Exceptional attention to detail and accuracy in reviewing and tagging visual data.
  • Strong written and verbal communication skills for effective collaboration, reporting, and timely updates on progress and challenges.
  • Demonstrated time management and self-organization abilities for independent, remote project participation.
  • Analytical and problem-solving mindset, with a proactive approach to resolving annotation challenges.

Preferred Qualifications:

  • Proven experience with video annotation, data labeling, or similar data-centric annotation projects.
  • Familiarity with video annotation tools and software platforms, including timeline-based interfaces for timestamping and event segmentation.
  • Experience with frame-level or timecode-based annotation (e.g., marking event boundaries, working with frame rates, or reviewing footage frame by frame).
  • Background in AI training, machine learning data preparation, or robotics projects (strongly preferred).
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