04 ott - Modena
Toptal
Our client is building first-person (POV) video datasets that train AI models to connect what they see (objects, hands, and actions) with spoken descriptions of what's happening. The footage shows real people doing hands-on tasks, filmed from a smartphone mounted on the head or chest.
We're looking for Recorders: people who have genuinely mastered a hands-on activity and can film themselves doing it from start to finish, from their own point of view. Whether you're a skilled woodworker, an experienced barista, a knitter, a bike mechanic, or someone who can fold laundry with precision, your expertise becomes the example an AI model learns from.
If you're fluent in English, you can narrate live as you work. If not, that's fine too: ambient audio is enough, and a separate narrator will add the description later.
What You'll Do
• Choose an activity you've mastered from the project's sub-areas and record the complete end-to-end process
• Film from a first-person perspective using your smartphone, keeping your hands and the procedure clearly visible and in focus throughout
• Follow a prepare → execute → finish structure for each recording
• Narrate live in English (if fluent) or capture clean ambient audio for post-recording narration
• When narrating: maintain a density of at least 25 words per minute, with 90%+ of your speech describing the setting or task steps
• Deliver videos in MP4 format with accompanying JSON metadata
• Follow the project's Acceptance Criteria and sub-area recording guidelines, which will be shared in full before work begins
• Complete an initial test video; approval unlocks immediate start
Activity Sub-Areas
• Home & Daily Tasks: cleaning; laundry (sorting, folding); organizing a closet; house tours; pet care; packing luggage; loading appliances / dishwashing
• Repairs & DIY: home repair; gardening / farming; furniture assembly; woodworking; plumbing; electrical work; bicycle maintenance; soldering electronics
• Textile & Craft Arts: sewing; kn
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