# Research Engineer, QC Automation - Company: [Clera]() - Location: San Francisco - Team: Engineering - Employment type: Full Time - Salary: $150K – $250K - Posted: August 27, 2026 ## Job description ### About the Role This is the top hiring priority on a ~15-person engineering team building infrastructure for reinforcement learning environments and post-training AI datasets. As a Research Engineer focused on QC Automation, you'll own the systems that ensure training data quality scales with growing demand — a critical function that sits at the intersection of engineering rigor and research judgment. ### What You'll Do * Automate quality control for training data produced by companies using the platform's infrastructure. * Build QC systems grounded in genuine human understanding and judgment, rather than heavy LLM reliance. * Define and enforce quality standards for AI training data end-to-end. * Design experiments and metrics to grade agent outputs across diverse tasks. * 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 and the vendor portal to reduce anomalies and edge cases. ### What We're Looking For * 2–4 years of experience in engineering or research roles, ideally focused on QC automation or data quality. * Proficiency in Python, Docker, and Linux environments. * Proven experience building scalable data validation pipelines and automated QA/QC systems end-to-end without a fully prescribed roadmap. * Experience working on benchmarks and evaluations for RL training data — including defining realistic tasks, reliable rubrics, and useful trajectories. * Demonstrated ability to create QC systems based on human judgment rather than defaulting to LLM-based approaches. * Experience designing experiments and metrics to grade agent outputs, and partnering with data vendors to provide actionable feedback. * Solid knowledge of statistics and comfort designing metrics and QA/QC processes. * Strong written and verbal communication skills for effective cross-timezone collaboration. * Genuine curiosity, intellectual range, and the ability to work autonomously in fast-paced, early-stage environments. ### Compensation & Benefits Salary range: **$150,000 – $250,000 USD** annually. Visa sponsorship is available for qualifying candidates. ### Location On-site in **San Francisco, CA** for U.S.-based candidates; on-site in **Singapore** for Southeast Asia–based candidates. Fully remote independent contractor arrangements are also considered for candidates based elsewhere, particularly in Europe. ## Apply [Apply on Clera]() Canonical job page: