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Mindy Support

Video Annotation & Data Labeling Specialist

Posted 6 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Singapore, SGP
Entry level
In-Office or Remote
Hiring Remotely in Singapore, SGP
Entry level
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.
The summary above was generated by AI
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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