Clera - Research Engineer, QC Automation

• Two to four years of experience in a research engineering or similar role focused on quality-control automation, plus a degree in a technical field. • Proficiency with Python, Docker, and Linux. • Experience independently building scalable data-validation pipelines and end-to-end automated QA or QC systems. • Background in benchmarks and evaluations for reinforcement learning data, including realistic task design, reliable rubrics, and useful training trajectories. • Experience defining and measuring training-data quality, and designing experiments, metrics, and quality processes. • Strong statistical knowledge and the ability to communicate clearly across time zones and work independently in an unstructured startup environment.