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Sieve
Verified live 1d ago

Product & Operations

Brief overview

San FranciscoIn-person
UndergradOr in progress
1 H-1B approvalsDept. of Labor
Problem solvingOperations managementData sourcingPartnership developmentProject ownership

About the company

Sieve supplies video data to frontier AI labs.

Visa sponsorship history

1 year sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
1H-1B approved
100%approval rate
$214,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20261
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20261
Top sponsored roles
Technical Data Operations Lead

Job description

About Us

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 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.

About the Role

As a 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.

Requirements

  • Excellent 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

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