Scene Cut Annotation for YouTube Videos (Temporal Segmentation Project)

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