
AfterQuery supplies high-quality human-generated data and evaluations to improve and benchmark advanced AI models. It operates as a research lab and data provider that curates, annotates, and…

AfterQuery supplies high-quality human-generated data and evaluations to improve and benchmark advanced AI models. It operates as a research lab and data provider that curates, annotates, and…
What they do: Applied research lab building expert-curated datasets and data solutions to improve foundation-model reasoning and agent behavior
Headquarters: San Francisco, California
Founders: Carlos Georgescu; Danny Tang; Spencer Mateega
Recent funding: $30M Series A led by Altos Ventures (reported)
Employee count: 104
Training data and environment generation for foundation models and AI agents
Artificial intelligence / Machine learning / Data solutions
$30M
Reported implied valuation of $300M; reported surpassing $100M revenue run rate at time of round
Public profiles list Y Combinator as an early backer
“Series A led by Altos Ventures with participation from The Raine Group and existing investors including Y Combinator and BoxGroup; angel participation reported from individuals at major AI labs and tech firms”
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About AfterQuery
AfterQuery is helping push the frontier of LLMs and AI Agents through novel datasets and experimentation. We work on building the most complex infrastructure that powers frontier data creation for agentic and hard reasoning workflows. We work with all 5 of the leading AI labs and are becoming the go-to partner for data infrastructure for YC companies. We have a sharp hockey stick growth rate and are extremely talent-dense, with most of our founding team coming from top IB and quant firms.
About the role
As part of AfterQuery’s engineering team, you’ll have end-to-end ownership over projects that push the frontier of AI evaluation. You’ll work on a mix of research engineering (designing novel RL environments, agentic systems, evaluation harnesses) and platform engineering (building human-in-the-loop platforms, scaling data infrastructure, designing annotator workflows).
This is not a narrow role. One week you might prototype a new RL environment from a research paper, the next you’ll be deploying distributed experiments on Kubernetes, and the week after you’ll be improving the reliability of our Next.js dashboards or building a Kafka pipeline for annotator analytics.
What You’ll Do
What We’re Looking For
Why AfterQuery
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