About UsSieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data.
Sieve scaled from 0 to $XXM in revenue in the second half of 2025, with a relatively small team of 12 people. We also recently raised our Series A from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.
About the RoleAs a the first operations hire at Sieve, you'll work on a variety of initiatives to build and scale our data operations. This includes forging data partnerships with content owners, coming up with creative ways to source new data, building out our human workforce, scaling human QA processes, and more - all to service the needs of our engineering team and our customers. You'll have ownership over these projects end-to-end and will play a critical role in shaping Sieve's long term strategy.
This role is ideal for someone who has a mixed technical and non-technical skillset and thrives in working through highly undefined settings and tasks.
Requirements- Excellent general problem solving skills
- Bonus: At least 1 year of engineering experience
- Bonus: Experience spearheading operations work at an AI lab
- Bonus: Experience as an early hire at a startup
- In-person at our SF HQ
