AI Data Strategy & Projects Lead

AfterQuery

San Francisco (CA)

On-site

USD 180,000 - 250,000

Full time

14 days+
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Benefits offered by this job

Health Insurance
401(k) Match
UberEats stipend
Wellness stipend

Job summary

AfterQuery is an applied research lab in San Francisco building data solutions for foundation model development. You will own and architect core data infrastructure powering our platform, collaborating with a world-class team to push model capabilities forward.

The role emphasizes leadership, research excellence, and entrepreneurial impact, with opportunities to influence how frontier models are trained and evaluated while working with top labs and investors.

Qualifications

  • PhD in a STEM field or equivalent excellence as a top competitor in IOI/IMO/USAPhO/USACO/Putnam.
  • Background in scientific research, computational modeling, or quantitative analysis in your field.
  • Strong quantitative and systems-level reasoning with deep domain fundamentals.
  • High agency, work ethic, and ability to define problems with minimal direction.

Responsibilities

  • Lead and coordinate cross-domain teams to build high-quality data solutions for foundation models.
  • Design dataset specifications that influence model evaluation and improvement.
  • Oversee end-to-end project delivery, from scoping to shipping in a fast-paced environment.
  • Work across business areas to support operational initiatives for the platform.

Skills

Leadership
Quantitative reasoning
Strong communication
Entrepreneurial mindset

Education

PhD in biology, chemistry, mathematics, data analytics/statistics, or related STEM field

Tools

Python
R

Job description

AfterQuery is an applied research lab in San Francisco building data solutions for foundation model development. You will own and architect core data infrastructure powering our platform, collaborating with a world-class team to push model capabilities forward.

The role emphasizes leadership, research excellence, and entrepreneurial impact, with opportunities to influence how frontier models are trained and evaluated while working with top labs and investors.

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