Video Data Annotation Expert

September 16, 2026
Application ends: December 15, 2026
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Job Description

Responsibilities

  • Review video footage of robotic arms performing assigned tasks and identify key actions and outcomes.
  • Apply detailed grading guidelines to accurately tag and annotate events within video sessions.
  • Use video annotation tools and platforms to create structured observations and labeled datasets.
  • Identify relevant actions, events, and outcomes with a high degree of accuracy.
  • Collaborate with project trainers and other contributors to resolve ambiguous cases and maintain annotation consistency.
  • Document findings and submit annotated datasets according to project standards and milestones.
  • Communicate project progress, challenges, and relevant insights through written and verbal channels.
  • Participate in ongoing quality reviews and incorporate feedback to improve annotation accuracy.
  • Maintain consistent annotation standards across assigned video sessions.
  • Manage workloads independently while meeting project deadlines.

Required Qualifications

  • Experience with video annotation, data labeling, or similar annotation projects.
  • Exceptional attention to detail and accuracy when reviewing visual data.
  • Strong written and verbal communication skills.
  • Demonstrated time-management and self-organization abilities.
  • Familiarity with video annotation tools and software platforms.
  • Ability to follow detailed grading and annotation guidelines consistently.
  • Strong analytical and problem-solving skills.
  • Ability to work independently while collaborating effectively with project teams.

Preferred Qualifications

  • Background in AI training or machine learning data preparation.
  • Experience working on robotics-related projects.
  • Previous participation in AI training, data labeling, or model evaluation projects.
  • Strong ability to identify and resolve ambiguous annotation scenarios.
  • Proactive approach to improving annotation quality and consistency.
  • Familiarity with structured visual-data workflows.
  • Experience working with high-volume annotation projects

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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