Research Engineer, QC Automation
Core
Design and build automated quality-control systems for reinforcement-learning training data using human judgment.
Role type
Research Engineer, QC Automation
Builds
Automated QC systems, auditing pipelines, and infrastructure tooling for RL training data
Domain
Reinforcement Learning, Data Quality, Automation
Deliverable
production ML models
Required skills
Python, Docker, Linux, scalable data-validation pipelines, RL benchmarks and evaluations, statistics, human-in-the-loop judgment design
Preferred skills
Experience with data vendors, experiment design, metric definition
Technologies
Python, Docker, Linux
Responsibilities
Design automated QC systems for RL training data; define quality standards; design experiments and metrics to grade agent outputs; partner with data vendors to diagnose issues; build auditing systems with sampling and validation pipelines; feed QC findings into infrastructure and vendor portals
Seniority
Mid-level, hands-on IC
