AfterQuery

Research Scientist - Frontier Data

San Francisco

Sponsorship not specified$250k-$450kDetected 99 days ago

Data StructuresLLMsValuationResearchLab Research

About the role

This is hands-on, high leverage work: you'll go from hypothesis to live experiment quickly, and your output will directly influence model training runs at scale.

Design data slides and explore data shapes that expose meaningful model failure modes across domains like finance, code, and enterprise workflows
Build and refine evaluation rubrics and reward signals for RLHF and RLVR training pipelines
Develop quantitative frameworks for measuring dataset quality, diversity, and downstream impact on model alignment and capability
Partner with lab research teams to translate their training objectives into concrete data and evaluation specifications
Genuine obsession with how data structure, selection, and quality drive model behavior
Ability to design lightweight experiments, move fast, and extract actionable insights from messy results
A bias toward building over theorizing

Comfort working across domains (you'll touch finance, software engineering, policy, and more)

Major plus if they've worked for/interned for any RL environment companies in the past or any AI safety or benchmarking orgs like METR, Artificial Analysis, etc..

AfterQuery https://www.afterquery.com/ is an applied research lab curating data solutions for foundation model development.
This is a rare opportunity to join a company at a defining moment in AI.
Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate.
About AfterQuery

Comprehensive benefits (UberEats and ride share stipend, comped Equinox, 401K with match, health, dental, and vision insurance)

This listing is sourced directly from AfterQuery's careers page and normalized into a canonical job model.