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Micro1
Micro1

Video Data Reviewer

Job Summary

Join our customer's team as a Video Data Reviewer, 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. No prior experience in AI is required; your domain knowledge is what matters.


Key Responsibilities


  1. Review and refine model-generated video annotations to ensure accuracy and precision in describing hand movements and object interactions.
  2. Validate and correct action timing, ensuring boundaries align with the start and end of each labeled activity.
  3. Assess and edit captions for atomicity, confirming each label describes a single, independent action.
  4. Verify correct identification of left versus right hand usage in all annotated segments.
  5. Flag low-quality, ambiguous, or incomplete labels for rework based on project standards.
  6. Maintain consistent labeling quality by adhering to established annotation rubrics and structured review pipelines.
  7. Provide actionable feedback to help enhance annotation models, and collaborate with team leads to resolve edge cases.



Required Skills and Qualifications


  1. Keen visual discrimination skills and high attention to detail, especially when analyzing repetitive video content.
  2. Ability to maintain focus and deliver reliable quality throughout long video review sessions.
  3. Comfort with web-based annotation tools and time-coded video platforms.
  4. Strong written and verbal communication skills, ensuring clear and concise captioning and feedback.
  5. Demonstrated process adherence and willingness to follow detailed guidelines and incorporate prompt feedback.
  6. Reliable high-speed internet connection and a computer capable of smooth video playback.
  7. Ability to work productively and autonomously while meeting daily throughput and quality targets.



Preferred Qualifications


  1. Experience in video annotation, labeling, transcription, or content moderation roles.
  2. Familiarity with annotation software such as CVAT, Labelbox, Scale, V7, or Encord.
  3. Background in fields requiring precise observation of human movement (e.g., occupational therapy, kinesiology, sign language interpretation, sports analysis).