About the role
Event Venue Staff Wanted — Flexible / Part-Time
Location: Work from anywhere (US, Canada, Mexico, Brazil, Colombia, Argentina) Job Type: Part-Time / Flexible Pay: USD 15/hr (US) · USD 8/hr (LATAM)
We're hiring event venue staff for a flexible, work-from-your-workplace opportunity. No prior experience required, and no language skills needed — this is a simple task-based role.
What You'll Do Perform your regular event venue tasks — trash & recycling sweep, stage & equipment setup/teardown, table & chair arrangement, AV & cable management, and similar duties — as part of a short program. Full details will be shared once you join the support group.
Requirements Currently working in an event venue environment Own one of the following smartphones: iPhone 12 or newer (excluding 16e / 17e) Google Pixel 6 or newer Samsung Galaxy S21 or newer
Why Apply? Get paid for your participation Flexible hours — fits around your existing schedule Start earning quickly 24/7 support available
Apply now — after submitting the application form, you'll get the link to join our project support group, where all details will be shared.
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.
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About the role
Event Venue Staff Wanted — Flexible / Part-Time
Location: Work from anywhere (US, Canada, Mexico, Brazil, Colombia, Argentina) Job Type: Part-Time / Flexible Pay: USD 15/hr (US) · USD 8/hr (LATAM)
We're hiring event venue staff for a flexible, work-from-your-workplace opportunity. No prior experience required, and no language skills needed — this is a simple task-based role.
What You'll Do Perform your regular event venue tasks — trash & recycling sweep, stage & equipment setup/teardown, table & chair arrangement, AV & cable management, and similar duties — as part of a short program. Full details will be shared once you join the support group.
Requirements Currently working in an event venue environment Own one of the following smartphones: iPhone 12 or newer (excluding 16e / 17e) Google Pixel 6 or newer Samsung Galaxy S21 or newer
Why Apply? Get paid for your participation Flexible hours — fits around your existing schedule Start earning quickly 24/7 support available
Apply now — after submitting the application form, you'll get the link to join our project support group, where all details will be shared.
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.