AfterQuery
We teach machines how experts think, applied research lab connecting 100,000+ verified professionals with frontier AI labs.
What is AfterQuery?
AfterQuery is a San Francisco applied-research lab founded in January 2025 (Y Combinator W25 batch) by three Wharton/Penn co-founders, Spencer Mateega (CEO), Carlos Georgescu, and Danny Tang. The company curates data solutions that capture expert reasoning and real-world workflows, then converts them into training data for foundation-model labs. Service portfolio: Supervised Fine-Tuning datasets with chain-of-thought reasoning, Reinforcement Learning with expert-designed rubrics, Agent Environments (API/MCP) for real workflows, and Computer Use Trajectories from human demonstrations. Their network spans nearly 100,000 verified practicing professionals across finance, law, medicine, engineering, software, ML/data science, business, and health. AfterQuery raised a $30M Series A at a $300M valuation (April 2026, led by Altos Ventures with The Raine Group, Y Combinator, and BoxGroup) and is reportedly above $100M annual revenue run rate within ~16 months of founding. Sign up to contribute at https://experts.afterquery.com/.
Mission & values
Teach machines how experts think, capture expert reasoning and real-world workflows, then convert them into training data that teaches AI models how professionals actually solve problems.
Qualifications
Two engagement paths exist. (1) AfterQuery Experts (experts.afterquery.com), the contributor program for domain professionals. Active tracks include finance, law, medicine, engineering, software engineering, ML/data science, business, and health. ML/DS expert listings target 1–3 years of experience; PhD is not strictly required but specialist tracks command higher rates. Per public coverage, pay ranges roughly $40–$50/hr for general expert work and up to $200–$250/hr for top-of-skill specialists. (2) Corporate hiring at afterquery.com/careers, 18 open roles, all in San Francisco and mostly onsite (Engineering, Research on Frontier Data and Post-Training, Strategic Projects/Operations, Growth, Sales). For remote-only contributors, the Experts side is the relevant path.
Leadership
Carlos Georgescu
Co-Founder
Met Spencer at a Google high-school summer program; later interned together at Meta. Previously at Citadel Securities (2x), Meta, and Google. Past acquired ed-tech founder.
Danny Tang
Co-Founder
Met Spencer in high school where they co-founded and sold a startup. Both attended Wharton as roommates before launching AfterQuery.
Hiring process
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1
Apply at experts.afterquery.com/apply
Submit an application listing your domain expertise and credentials.
About 1 day
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2
Vetting & domain assessment
Pass domain-specific tests for the Experts track you target (finance, law, medicine, engineering, SWE, ML/DS, etc.).
About 5 days
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3
Onboarding
Calibration tasks, profile setup, and platform onboarding.
About 3 days
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4
Project matching
Get matched to AI-lab client projects (SFT data, RL rubrics, Agent Environments, Computer Use Trajectories).
About 5 days
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5
Get paid
Per-project payouts processed through the platform.
About 7 days
Funding
Awards & recognition
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$30M Series A at $300M valuation · 2026
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$100M+ annual revenue run rate within ~16 months of founding · 2026
BusinessWire / FinSMEs
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Y Combinator Winter 2025 batch · 2025
Company information
- Industry: AI / Machine Learning
- Location: San Francisco, CA, USA
- Founded: 2025
- Company size: 11-50
- Website: experts.afterquery.com ↗
- LinkedIn: Company page ↗
- X / Twitter: Profile ↗