Sieve 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.
We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 12 people. We also raised our Series A earlier this year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.
About the RoleAs a founding member of the operations team 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.
RequirementsExcellent general problem solving skills
Bachelor's degree in computer science/STEM adjacent
In-person at our SF HQ
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
Top Skills
What We Do
Sieve is the only AI research lab exclusively focused on video data.
Video already makes up 80% of internet traffic and has become the dominant medium driving creativity, communication, gaming, AR/VR, and robotics. Unlocking the ability to truly model video is the key to breakthroughs across all of these domains but progress has been bottlenecked by one thing: high-quality training data. That’s where Sieve comes in.
We bring together exabyte-scale video infrastructure, novel video understanding techniques, and dozens of diverse data sources to create datasets that push the frontier of video modeling. This unique combination allows us to deliver data with unmatched precision, quality, and speed which has earned the trust of frontier AI labs, Fortune 100 companies, and fast-growing generative AI startups.
