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Senior AI Trainer

micro1Cały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaKontrakt
Doświadczenie
DoświadczenieSenior
Dodano
Dodano11 września 2026
Wykryte przez nas
Wykryte przez nas12 września 2026
Zarobki
Zarobki50 - 90 USD

micro1 is seeking a Senior AI Trainer to join a customer-driven project focused on enhancing AI system accuracy through expert-level video annotation and data labeling. In this role, you will apply your technical expertise to help train next-generation AI systems by providing high-quality, real-world input that shapes how models learn, reason, and perform.

Key responsibilities

  • Review video footage of robotic arms executing tasks, identifying key actions and outcomes with high 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.
  • Verify timestamp accuracy and alignment across annotations, correcting inconsistencies between labeled events and the underlying footage.
  • Collaborate with project trainers to resolve ambiguities, refine guidelines, and ensure annotation consistency across the team.

Requirements

  • Exceptional attention to detail and accuracy in reviewing and tagging complex visual data.
  • Strong written and verbal communication skills for effective collaboration and reporting.
  • 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.
  • Proven experience with video annotation, data labeling, or similar data-centric annotation projects.

What we offer

  • The opportunity to contribute to cutting-edge AI and robotics development.
  • A fully remote work environment allowing for flexible, independent project participation.
  • Engagement in a collaborative team setting focused on maintaining rigorous annotation standards.

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