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© All Rights Reserved. ApplyBlast.com
AfterQuery
This role involves designing and running controlled experiments to evaluate the impact of datasets on large language model performance through SFT and RL-based post-training. Candidates will collaborate with partner labs to generate defensible evidence linking data sources to model improvements and publish technical research. The position requires a strong bias toward building actionable insights from messy results rather than pure theorizing.
AfterQuery is an applied research lab that captures how experts reason and transforms real-world professional work into high-quality training data for frontier AI foundation models. Their data solutions include supervised fine-tuning datasets, reinforcement learning rubrics, agent environments, and computer use trajectories. AfterQuery serves frontier AI research labs and enterprises looking to train models on expert reasoning rather than raw outputs.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for AfterQuery.
154% above the average for this role