Interview Video | Real Job Interviews with Synchronised Audio & Video | Worldwide | Consented
Overview
Interview Video | Real Job Interviews with Synchronised Audio & Video | Worldwide | Consented is a multimodal dataset. Typical applications include speech recognition and conversational AI. Relevant sectors: AI & Machine Learning and Education. Pricing is not published and is provided on request.
Primary applications
What this dataset is the provider licenses real job interview recordings captured on an AI interviewer platform used by 4,000+ companies. This product is the video cut of that library: a person on camera, answering real questions, in a conversation whose outcome matters to them. Both streams come from the same session and stay aligned, so the set supports work that needs picture and sound together rather than audio alone. How it is sourced Candidates give explicit consent after their interview, specifically for AI training use. Nothing is scraped and nothing is repurposed from public video - which is the difference that matters most for video, where scraped footage is the norm and provenance is usually the thing a buyer cannot get. Delivered records carry a pseudonymous respondent ID, not names or contact details. We share the exact consent language, the collection process, the available metadata and the permitted usage scope before any commitment, so legal review runs alongside technical evaluation instead of after it. Why interview video is different The speaker is talking to camera under real pressure, not performing to a brief. That produces the behaviour staged footage does not reproduce: hesitation, self-correction, shifts in pace, and genuine variation in expression and tone. Conditions are real too - consumer webcams, ordinary rooms, everyday lighting and background noise - which is the environment a deployed model actually meets. Coverage Seven regional segments across 48
Technical specifications
Related datasets
More in Video & Physical AI →Audio-Video Conversational Dataset | 4,000 Hours of Global Synchronized Speech & Video
The Audio-Video Conversational Dataset is a 4,000-hour collection of synchronized speech and video recordings of people having natural conversations across diverse…
- Language
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- Volume
- 4,000 h
- Domain
- AI & Machine Learning +1
- Use case
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