Mid-Level Research Engineer, QC Automation
About the Role
Join an engineering team building infrastructure for AI reinforcement learning and evaluation. In this role, you will own quality control automation for training data, developing systems that help maintain high standards as data needs grow.
What You'll Do
Build automated quality control systems grounded in human judgment and a strong understanding of data, rather than relying heavily on large language models.
Define and enforce quality standards for training data.
Design experiments and metrics to assess agent outputs.
Work with data vendors to investigate quality issues, diagnose agent failure modes, and improve data generation processes.
Turn quality control findings into sampling strategies and rule-based or model-assisted validation pipelines.
Improve infrastructure tools and vendor workflows to reduce anomalies, inconsistencies, and edge cases.
What We're Looking For
Two to four years of experience in research engineering or a similar role focused on quality control automation.
Proficiency with Python, Docker, and Linux.
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