Research Engineer, QC Automation
About the Role
This is a top-priority hire on the Engineering team at an early-stage AI infrastructure company focused on reinforcement learning environments and post-training data. You will own the automation of quality control for training data produced by companies using the platform, building systems that scale quality to meet growing demand. The team is small, technical, and fast-moving, with backgrounds spanning competitive programming, AI research, and startup founding.
What You'll Do
Automate QC for training data created 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 training data across the platform.
Design experiments and metrics to evaluate and grade agent outputs.
Partner with data vendors to debug quality issues, diagnose agent failure modes, and improve their data generation processes.
Translate QC learnings into auditing systems, including sampling strategies and rule-based or model-assisted validation pipelines.
Continuously integrate QC insights into infrastructure tools a
