#49426 Video Annotation & Data Labeling Project
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.
Successful contributors will begin with video annotation and segmentation tasks and gain priority access to advanced, high-paid projects.
What you will do:
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High-Level Captioning: Write 1–2 sentence summaries of video action sequences in simple English. You must strictly follow objective guidelines (no mentions of humans, body parts, or assumptions).
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Video Segmentation: Break down video timelines into discrete, action-based segments (minimum 2–3 per task) ensuring zero time gaps or overlaps.
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Action Labeling: Describe visible actions using simple present tense (e.g., "Picks up the object"). Labels must be strictly based on what is visually verifiable.
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Model Interaction & QA: Review and edit automatically generated captions from automated AI models to ensure 100% accuracy and consistency.
Qualifications needed:
- High Accuracy
- Deliver high-quality annotations with 85–90%+ benchmark accuracy
- Follow annotation guidelines consistently
- Describe only what is visible—without assumptions or interpretations
- Use clear, consistent language
- Productivity
- Complete the annotation workflow for a 1-minute video in approximately 4 minutes
- Efficiently use keyboard shortcuts
- Run background screen-recording software during tasks
- Professional Work Style
- Comfortable working in a structured, quality-driven environment
- Able to stay focused throughout task execution
- Follow project processes and productivity requirements
Certification & Onboarding Process
To ensure all specialists meet the required standards, candidates must pass a certification process (approx. 3 hours total):
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Preparation: Review guidelines and training videos.
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Practice: Master the shortcuts and rules on available training tasks.
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Certification Test: Successfully complete 5 certification tasks by delivering high-quality results within the 4-minute time limit per video.