About the role
We are looking for SPLs with experience in deep scientific or quantitative research – ideally a PhD in biology, chemistry, mathematics, statistics or a related field, or an elite competition medalist – who can be the in-house expert on what "good" looks like in frontier AI data. As demand from leading AI labs grows across STEM domains, we need people with real scientific credentials who can speak with authority on the work and hold our datasets to the highest standard. You will bring your field's rigor to projects that directly shape how foundation models reason and are evaluated. This is a high-ownership role for a sharp, entrepreneurial scientist who wants to move from research into building at the cutting edge of AI.
What you will be doing
- Serving as the internal subject-matter expert for your STEM domain – defining what high-quality data looks like when we build datasets for frontier AI labs
- Designing dataset specifications and evaluation criteria that directly influence how frontier models are trained, tested and improved
- Recruiting, leading and coordinating teams of specialized expert contributors to produce rigorous, high-quality outputs at scale
- Owning critical projects end-to-end – scoping, executing, iterating and shipping in a fast-moving, high-stakes environment
- Working with leading AI organizations on next-generation data solutions while contributing to operational initiatives across the business
About AfterQuery
Applied research lab curating data solutions for foundation model development.
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Job details
Salary
$150,000 - $225,000
Location
San Francisco, United States
Experience
3+ years
Funding
Total raised
$34M
Last stage
Series A
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
