Research Engineer, QC Automation
About the Role
This is the top-priority hire on the engineering team at a fast-growing AI infrastructure startup focused on reinforcement learning environments and post-training data. As a Research Engineer, QC Automation, you will own the automation of quality control for training data created by companies using the platform, building systems that scale quality to meet strong and continued demand. You will join a roughly 15-person engineering group of published researchers and experienced AI practitioners.
What You'll Do
Automate QC for training data produced by companies using the platform's infrastructure.
Build QC systems grounded in true understanding and human judgment, rather than heavy reliance on LLMs.
Define and enforce quality standards for RL training data.
Design experiments and metrics to grade agent outputs.
Partner with data vendors to debug quality issues, diagnose agent failure modes, and improve their data generation processes.
Translate QC findings into auditing systems, including sampling strategies and rule-based or model-assisted validation pipelines.
Continuously feed QC learnings back into infrastructure tools
