Posted on:August 24, 2026
#49848 Video Annotation & Data Labeling Specialist at Mindy
Mindy is hiring a #49848 Video Annotation & Data Labeling Specialist in Remote +1 more. Remote.
About Mindy
Mindy Support provides end-to-end AI data infrastructure for enterprise AI/ML teams, including data collection, annotation, evaluation, and LLM training. It also offers data annotation for LLM and customer service/BPO. The company works with domain experts across industries such as healthcare, automotive, and fintech, and supports multilingual data services in 85+ languages with a global network of contributors.
#49848 Video Annotation & Data Labeling Specialist 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:
Long-term Data Annotation
Compensation Rate: $2.00-5.00, based on your verified quality and productivity
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.
- Review project guidelines and training materials;
- Practice using the annotation platform;
- Successfully complete 5 certification tasks within the required quality and time benchmarks;
- 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.
