Video Annotation & Data Labeling Project

📋 Description

• Write concise 1–2 sentence summaries of video action sequences with objective English and strict
• Segment video timelines into 2–3 action-based segments per task with no gaps/overlaps.
• Create action labels using simple present tense, describing only verifiable actions.
• Review and edit AI captions for accuracy and consistency with project guidelines.
• Identify and correct inconsistencies in automatically generated annotations.
• Maintain high annotation quality, aiming for 85–90%+ accuracy.

🎯 Requirements

• Strong attention to detail; identify subtle inconsistencies in visual content.
• Describe only what is visibly observable—no assumptions or inferences.
• Strong written English; communicate actions clearly and consistently.
• Follow detailed guidelines precisely across a large volume of tasks.
• Achieve and maintain 85–90%+ benchmark accuracy.
• Work efficiently to meet productivity targets; a 1‑minute video should take ~4 minutes to annotate.

🎁 Benefits

• Competitive project-based pay: $2.00–$5.00 per hour, depending on quality/productivity.
• One-time $10 bonus via PayPal after certification.
• Access to upcoming paid annotation tasks after certification.
• Priority access to higher-paid AI data projects for strong contributors.
• Structured onboarding with guidelines, training videos, practice tasks, and certification support.
• Opportunity to gain experience in AI data annotation, video understanding, model evaluation, and QA.