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Video Annotation & Data Labeling Specialist

Role overview

Qualifications

  • High accuracy with 95%+ benchmark accuracy
  • Ability to follow annotation guidelines strictly
  • Objectivity in descriptions without assumptions
  • Clarity in using clear, consistent language

Responsibilities

  • Write objective 1-2 sentence summaries of video sequences in simple English
  • Break videos into action-based segments with no gaps or overlaps
  • Describe only visually verifiable actions using simple present tense
  • Review and improve AI-generated captions for accuracy and consistency

Key facts

  • Remote from: Anywhere
  • Freelance
  • English

About the company

Mindy Support logo

Mindy Support

Outsourcing & Offshoring

Mindy Support is a trusted global leader in Data Annotation, Customer Support, and Generative AI (LLM) services. For over a decade, we have partnered with Fortune 500 companies and GAFAM leaders, delivering world-class solutions that empower businesses to thrive in a fast-paced, ever-changing world.

Company details

IndustryOutsourcing & Offshoring
Company size1,001-5,000

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Job description

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:
Dedicated (25-40hours per week) / long-term Data Annotation
Compensation Rate: $2.00-5.00, based on your verified quality and productivity

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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