We are seeking a qualified data labeling vendor or team of annotators to perform scene cut and transition annotations on a large batch of YouTube videos. The objective is to produce high-quality temporal segmentation labels marking the exact timestamps of each scene boundary. These annotations will be used to support downstream video content analysis, summarization, and automated editing workflows. Scope of Work: Annotate scene boundaries (cuts or transitions) in provided YouTube videos Mark start and end timestamps for each scene Follow detailed annotation guidelines and examples provided by our team Perform internal quality checks and revisions before final delivery Data Type: Video Labelling Type: Segmentation (Temporal) Annotation Tool: uLabel (access will be provided) Volume: ~1,000 videos (average duration: 5–10 minutes each) Expected Output Format: JSON/CSV with fields: video_id, scene_id, start_time, end_time Quality Requirements: ≥95% accuracy on spot checks Weekly quality audits by our internal QA team Must meet agreed turnaround timelines Team Size (Preferred): 10–15 annotators Project Duration: 4–6 weeks Subject Matter/Industry: Media & Entertainment (Video Content Editing) Proposal Requirements: Prior experience with video annotation or temporal segmentation tasks Estimated team size and delivery capacity Cost per annotated video or per hour of video annotated Details on internal QA process and accuracy monitoring
$0
$4/hr
Flexible
< 1 month
15
50 hours of youtube videos
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Need agency/freelancers to label 50+ hours of video recordings.
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