Video Annotation & Data Labeling Specialist

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.

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.

• Meet time targets: Complete the annotation workflow for a 1-minute video in approximately 4 minutes.
• Work efficiently: Utilize keyboard shortcuts to optimize task speed.
• Maintain transparency: Run background screen-recording software during all active tasks.
• Demonstrate professionalism: Stay focused and comfortable in a structured, quality-driven environment.
• Follow guidelines: Adhere strictly to all project processes and productivity requirements.