Claims
Skills: React, Next.js, TypeScript, JavaScript, HTML/CSS, Python, Rust, SQL, Docker, CI/CD
ð Build the data layer AI needs to do science ------------------------------------------------
Application deadline: 16 Nov 2026 23:59 CET
About Claims ------------
AI ate the Internet, but it can't digest science yet. A paper is thousands of words of prose written for humans, but an AI agent doing research needs to know what was claimed, what evidence supports it, and how far to trust it. Claims turns the scientific literature into exactly that: every claim, tied to its evidence, as structured data that models and agents can query.
We're a startup and run as Subnet 111 on Bittensor. Since our mainnet launch on 28 August 2026, an open competition of miners has processed more than 10,000 papers, and every record was checked by our validator before it entered the dataset. The competition keeps raising the bar: miners keep finding ways to beat our own reference pipeline, and every win becomes part of the standard the whole network is scored against.
The team --------
Claims was founded by two professors of economics and a senior engineer.
Philipp Koellinger(https://philipp-koellinger.com/), CEO, is a professor of economics and an experienced entrepreneur: founder of DeSci Labs and the DeSci Foundation, and co-builder of SciWeave with Ogban. Christian Roessler(https://www.csueastbay.edu/directory/profiles/econ/roesslerchristian.html), co-founder, is a professor of economics and game theorist. He designs the incentive mechanism that makes the miner competition work. Ogban Ugot(https://www.linkedin.com/in/ogbanugot/), engineering, is a senior backend and machine learning engineer. He built SciWeave, the Claims miner, validator and data pipeline, and you will work with him every day.
You would be the fourth person on the team and our second engineer.
Our culture -----------
We are a fully remote team spread across Europe, Africa and the US West Coast. We have a flat hierarchy and move fast towards clearly defined goals. We think deep, don't shy away from difficult prob …truncated…
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