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Data Annotator - Video Data Reviewer

Micro1

Data Annotation & Labeling Contractor Short-term
Europe, Middle East, Africa $10 – $10/hr May 16, 2026

Job description

Join the team as a Video Data Reviewer contributing expertise toward training next-generation AI systems through high-quality video annotation review and validation workflows.

This role focuses on reviewing, correcting, and refining model-generated video annotations involving:

  • Hand movements
  • Object interactions
  • Action timing
  • Caption accuracy
  • Human activity labeling

No prior AI experience is required. Strong observational skills and attention to detail are the primary qualifications.

Key Responsibilities

  • Review and refine AI-generated video annotations for:

    • Accuracy
    • Precision
    • Consistency
  • Validate and correct:

    • Action timing
    • Label boundaries
    • Start and end points of activities
  • Assess captions for atomicity, ensuring each annotation represents:

    • A single action
    • An independent event
    • Clear behavioral labeling
  • Verify:

    • Left-hand vs right-hand usage
    • Human-object interaction accuracy
    • Segment consistency
  • Flag:

    • Ambiguous labels
    • Low-quality annotations
    • Incomplete data
    • Edge cases
  • Maintain quality standards by following:

    • Annotation rubrics
    • Structured review workflows
    • QA pipelines
  • Provide actionable feedback to improve annotation systems and workflows

  • Collaborate with project leads on difficult or unclear review cases

Required Skills & Qualifications

  • Strong:

    • Visual discrimination skills
    • Attention to detail
    • Pattern recognition abilities
  • Ability to maintain focus during repetitive video review work

  • Comfortable using:

    • Web-based annotation tools
    • Time-coded video review platforms
  • Strong:

    • Written communication
    • Verbal communication
    • Process adherence
  • Ability to follow detailed project guidelines and integrate reviewer feedback

  • Reliable:

    • High-speed internet
    • Computer capable of smooth video playback
  • Ability to work independently while meeting:

    • Throughput targets
    • Quality expectations
    • Review deadlines

Preferred Qualifications

  • Experience in:

    • Video annotation
    • Data labeling
    • Content moderation
    • Transcription workflows
  • Familiarity with annotation tools such as:

    • CVAT
    • Labelbox
    • Scale
    • V7
    • Encord
  • Background in fields involving human movement analysis including:

    • Occupational therapy
    • Kinesiology
    • Sports analysis
    • Sign language interpretation

Additional Information

This role contributes directly to the development of advanced AI systems by improving the quality and reliability of video understanding and activity recognition models.

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