Identify and label shot boundaries and transitions in video clips. About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
About the role
Identify and label shot boundaries and transitions in video clips. About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Role Overview
We're looking for detail-oriented video annotators to support a shot boundary detection project. Annotators will watch video clips, identify where shots begin and end, classify transition types (cuts, fades, dissolves, wipes), and group shots into scene buckets with category labels.
Job Responsibilities
Watch video clips frame-by-frame and identify all shot boundaries
Create a "Shot Card" for each shot, capturing start/end frames
Identify and label the shot transition type and subtype (cut, fade, dissolve, wipe, etc.)
Group shot cards into scene buckets based on narrative/event continuity
Classify each video clip and scene bucket by category (e.g., TV-Streaming/Drama, Education/Documentary, Gaming/Sci-Fi, Podcast/Lifestyle)
Maintain consistency and accuracy across a high volume of annotations
Follow detailed labeling guidelines and flag edge cases for review
Job Requirements
1+ year of experience in video/film editing, content creation, or video production
Strong understanding of shot composition, editing techniques, and transition types
Sharp attention to detail and ability to distinguish subtle visual cues (e.g., panning/zooming vs. an actual shot change) …
Official source: work.turing.com. Details can change; the platform's page is the final word. How we check listings.
