#49848 Video Annotation & Data Labeling Specialist

Posted 8 Days Ago
6 Locations
In-Office or Remote
2-5 Hourly
Entry level
Artificial Intelligence • Machine Learning • Professional Services
The Role
Annotate and segment videos, write objective captions, label visually verifiable actions, and review AI-generated captions for accuracy and consistency. Specialists must follow detailed guidelines, maintain at least 95% benchmark accuracy, and complete a paid certification process involving training, platform practice, and five certification tasks before accessing ongoing production work.
Summary Generated by Built In
We’re looking for detail-oriented specialists to join a long-term AI data annotation project focused on high-level video captioning, behavioral segmentation, and AI model verification. No previous experience is required—we welcome beginners who are ready to learn!
Successful contributors will begin with video annotation and segmentation tasks and gain priority access to advanced, high-paid projects.
 
Role Details:
Long-term Data Annotation
Compensation Rate: $2.00-5.00, based on your verified quality and productivity
Working shedule: monday-friday, at least 6 hours per day 

What You’ll Do

  • High-Level Video Captioning – Write objective 1–2 sentence summaries of video sequences in simple English.
  • Video Segmentation – Break videos into action-based segments with no gaps or overlaps.
  • Action Labeling – Describe only visually verifiable actions using simple present tense.
  • AI Model Verification – Review and improve AI-generated captions for accuracy and consistency.
 
What We’re Looking For
  • High accuracy: Delivering high-quality annotations with 95%+ benchmark accuracy.
  • Consistency: Following annotation guidelines strictly.
  • Objectivity: Describing only what is visible—without assumptions or interpretations.
  • Clarity: Using clear, consistent language.

Certification & Onboarding

    Before joining paid production, all candidates complete a certification process, approximately 3 hours. 
     
    1. Review project guidelines and training materials;
    2. Practice using the annotation platform;
    3. Successfully complete 5 certification tasks within the required quality and time benchmarks;
    4. After successful certification, you’ll receive access to ongoing paid project batches.

    All hours required to complete the certification will be paid once you begin performing production tasks.

Skills Required

  • No previous experience required
  • Ability to achieve 95% or higher annotation accuracy
  • Ability to follow annotation guidelines strictly and consistently
  • Ability to describe only visually verifiable actions objectively
  • Ability to write clear summaries in simple English
  • Successful completion of the certification process and five certification tasks
  • Availability for 25 to 40 hours per week
Am I A Good Fit?
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The Company
649 Employees
Year Founded: 2013

What We Do

Mindy Support is a global AI data infrastructure and outsourcing provider. It collects, annotates, and evaluates multilingual data, supports LLM training, and delivers AI customer-experience and customer-service workflows for enterprise AI/ML teams. Its domain experts support healthcare, automotive, fintech, robotics, retail, and e-commerce, helping Fortune 500 and GAFAM clients build accurate, scalable, production-ready AI systems at scale across global markets and industries.

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