What the role involves
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 our first recruiter at Sieve, you'll build our recruiting function from the ground up and hire across engineering and our product operations org. This is a high-ownership role for someone who thrives in ambiguity, moves fast without sacrificing quality, and wants to be directly responsible for scaling a high-growth startup.
No day will look the same - ideal candidates will bounce around between sourcing candidates, taking screen calls, running recruiting events, and anything else that’s needed to build the most talent dense organization.
Requirements
At least 3 years of technical recruiting experience
Familiarity with AI/ML/Research talent market
In-person at our SF HQ
Bonus
Experience as a founding recruiter
Bonus
Experience with hosting recruiting events
Bonus
Experience with AI tools (Claude, Cursor, etc)
Benefits
401k + Full Health Insurance
Breakfast, Lunch, and Dinner covered and your choice of snacks
Ubers covered home
About sieve
sieve solves data cleaning for hedge funds and investment firms by letting them get clean data in four lines of code. Currently, their data pipelines have conditions that raise for human review, which literally send an email to engineers with data that needs to be reviewed. We provide an API that integrates directly into their existing pipeline - instead of raising for human review, they can send all the same information to our API and get clean, high-quality data back. By using our AI agents built specifically for financial data collection, along with expert-in-the-loop review, we provide our clients with clean, validated data at a scale and level of quality that wasn't achievable before.
Full sieve profile