QC Automation Research Engineer (Remote)

About this role

HUD is seeking Research Engineers to automate QC for training data, building scalable systems that ensure high-quality datasets used across AI pipelines. You will create QC systems that rely on human judgement rather than heavy LLM usage and help scale quality with experiments and metrics. The role emphasizes collaboration with data vendors, designing sampling, validation pipelines, and feedback loops, while integrating QC learnings into infrastructure tools. J-18808-Ljbffr