Operations

Posted Yesterday
Hiring Remotely in USA
Remote
Entry level
Artificial Intelligence • Information Technology • Robotics • Software
The Role
Support and scale data and business operations, assist with administrative tasks, drive BizOps initiatives, and establish video quality assurance processes.
Summary Generated by Built In
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 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 Role

As a member of the operations team at Sieve, you’ll work on a variety of initiatives to support and help scale our data and business operations. This includes helping with administrative tasks, driving new BizOps initiatives, building video QA processes, helping build out our human workforce, etc.

Requirements
  • Excellent general problem solving and communication skills

  • Proficiency with AI tools

  • Bonus: Experience at a startup

Top Skills

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The Company
HQ: San Francisco, CA
16 Employees
Year Founded: 2022

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.

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