Video Annotation & Data Labeling Project

📋 Description

• Write concise 1–2 sentence summaries of video actions.
• Segment video timelines into 2–3 sections per task.
• Create action labels using simple present tense, only observable actions.
• Review and edit AI captions for accuracy and consistency.
• Identify and correct inconsistencies in automatic annotations.
• Aim for 85–90% benchmark accuracy and productivity targets.

🎯 Requirements

• Strong attention to detail, can spot subtle differences.
• Describe only what is visibly observable, no assumptions.
• Excellent written English, clear and consistent language.
• Follow detailed guidelines precisely, apply rules consistently.
• Aim for 85–90%+ accuracy and 4 minutes per video workflow.
• Comfort with keyboard shortcuts and structured workflows.

🎁 Benefits

• Competitive project-based rate of $2.00–$5.00 per hour, depending on quality and productivity.
• One-time $10 bonus via PayPal after certification.
• Access to upcoming paid annotation batches after certification.
• Priority access to higher-paid AI data projects for top contributors.
• Structured onboarding with training, practice tasks, and certification support.
• Opportunity to gain experience in AI data annotation and QA.