Build automated quality control (QC) systems for AI training data on HUD’s infrastructure. Design validation pipelines, metrics, and feedback loops to ensure data reliability. Requires Python/Docker expertise, strong data quality understanding, and experience with scalable QA/QC systems.
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About HUD
HUD's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.
We're looking for Research Engineers to automate QC for training data created by companies using HUD's infrastructure. You'll build the systems that scale quality to help us meet our continued strong demand.
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