Top Benefits
About the role
Role: AI Data Collector (Remote) Location: Work from anywhere Job Type: Part-Time / Flexible Daily Commitment: Flexible No language barriers — this project records tasks only; no audio or speech required. No experience required.
About the Role Rilith AI is partnering with contributors — students, working professionals (office/field), and homemakers — to work on a research project in which participants record short egocentric (first-person POV) videos of everyday household tasks and daily activities performed at their work locations. You will record your hands carrying out real-life activities — at home or at work — with no extra time required beyond your normal routine. Everybody can participate.
Each participant can record up to 100 hours per environment (e.g. home, warehouse).
Eligibility Requirements You must: Reside in the United States, Canada, Mexico, Brazil, Colombia, Argentina, Indonesia, Malaysia, Singapore, Philippines, Vietnam, and Thailand. Own a compatible device: Apple iPhone — iPhone 11 through 17 (all variants: Mini / Plus / Pro / Pro Max) (Not accepted: iPhone 16e, iPhone 17e) Google Pixel — Pixel 6 through 10 (standard & Pro) Samsung Galaxy — Galaxy S21 through S26 (standard / + / Ultra)
What You Will Do Record first-person (egocentric) videos while performing real-life activities, including: Household tasks (cooking, cleaning, laundry, and more) Warehouse operations Logistics activities Retail and commercial operations Check the app for the full list of available tasks.
Bonus & Payment Terms Pay rate: Decent pay per hour (USD) Payment method: PayPal Flexible Payment: Payment can be withdrawn at any time (hourly, daily), no minimum limit
Why Join? Contribute to the development of next-generation AI and robotics systems Get paid for every hour of video recorded in accordance with project guidelines Start earning from day one Record during your normal daily routine — no extra time needed 24/7 expert support available Students and working professionals may request a certificate of contribution upon completion Your data will remain secure. No personal information will be shared or disclosed without your consent.
About Rilith
The robots being built today are only as good as the data they learn from. At Rilith, that's exactly what we solve.
We curate high-quality, real-world data specifically designed for robot training — built for the hard problems that simulation alone cannot fix. What we do:
Egocentric video data for industrial and household environments, sourced and delivered to your exact specifications Sim-to-Real transfer — we deploy in real Indian industrial environments so your robots can learn from the physical world, not just a physics engine Cross-embodiment data solutions — structured data that generalizes across different robot form factors
What makes us different is our network. We maintain a global database of 100,000 of subject matter experts (SMEs) across multiple countries, enabling us to collect data at scale, with precision, in environments that matter. We don't sell generic datasets. We work with robotics companies to understand their specific training gaps and deliver data that directly closes them. If your team is hitting a wall with data diversity, real-world coverage, or embodiment generalization — I'd love to have a conversation.
📩 Reach me at contact@rilith.com or message me directly here.
Similar Jobs
Top Benefits
About the role
Role: AI Data Collector (Remote) Location: Work from anywhere Job Type: Part-Time / Flexible Daily Commitment: Flexible No language barriers — this project records tasks only; no audio or speech required. No experience required.
About the Role Rilith AI is partnering with contributors — students, working professionals (office/field), and homemakers — to work on a research project in which participants record short egocentric (first-person POV) videos of everyday household tasks and daily activities performed at their work locations. You will record your hands carrying out real-life activities — at home or at work — with no extra time required beyond your normal routine. Everybody can participate.
Each participant can record up to 100 hours per environment (e.g. home, warehouse).
Eligibility Requirements You must: Reside in the United States, Canada, Mexico, Brazil, Colombia, Argentina, Indonesia, Malaysia, Singapore, Philippines, Vietnam, and Thailand. Own a compatible device: Apple iPhone — iPhone 11 through 17 (all variants: Mini / Plus / Pro / Pro Max) (Not accepted: iPhone 16e, iPhone 17e) Google Pixel — Pixel 6 through 10 (standard & Pro) Samsung Galaxy — Galaxy S21 through S26 (standard / + / Ultra)
What You Will Do Record first-person (egocentric) videos while performing real-life activities, including: Household tasks (cooking, cleaning, laundry, and more) Warehouse operations Logistics activities Retail and commercial operations Check the app for the full list of available tasks.
Bonus & Payment Terms Pay rate: Decent pay per hour (USD) Payment method: PayPal Flexible Payment: Payment can be withdrawn at any time (hourly, daily), no minimum limit
Why Join? Contribute to the development of next-generation AI and robotics systems Get paid for every hour of video recorded in accordance with project guidelines Start earning from day one Record during your normal daily routine — no extra time needed 24/7 expert support available Students and working professionals may request a certificate of contribution upon completion Your data will remain secure. No personal information will be shared or disclosed without your consent.
About Rilith
The robots being built today are only as good as the data they learn from. At Rilith, that's exactly what we solve.
We curate high-quality, real-world data specifically designed for robot training — built for the hard problems that simulation alone cannot fix. What we do:
Egocentric video data for industrial and household environments, sourced and delivered to your exact specifications Sim-to-Real transfer — we deploy in real Indian industrial environments so your robots can learn from the physical world, not just a physics engine Cross-embodiment data solutions — structured data that generalizes across different robot form factors
What makes us different is our network. We maintain a global database of 100,000 of subject matter experts (SMEs) across multiple countries, enabling us to collect data at scale, with precision, in environments that matter. We don't sell generic datasets. We work with robotics companies to understand their specific training gaps and deliver data that directly closes them. If your team is hitting a wall with data diversity, real-world coverage, or embodiment generalization — I'd love to have a conversation.
📩 Reach me at contact@rilith.com or message me directly here.