Research Engineer, QC Automation
Core
Automate quality control for RL training data produced by companies using the platform's infrastructure, building systems that scale quality to meet demand.
Role type
Research Engineer, QC Automation
Builds
QC systems grounded in human judgment, auditing systems, and validation pipelines for RL training data
Domain
AI Infrastructure / Reinforcement Learning
Deliverable
production ML models | infrastructure
Required skills
Python, Docker, Linux, scalable data validation pipelines, RL training data benchmarks, statistics, metrics design, vendor partnership
Preferred skills
None stated
Technologies
Python, Docker, Linux
Responsibilities
Automate QC for training data, 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, translate QC findings into auditing systems, feed QC learnings back into infrastructure tools
Seniority
Mid-level, hands-on IC
