Research Engineer, QC Automation

ABOUT THE ROLE This is a top-priority hire for a fast-growing AI infrastructure company building the tooling that powers reinforcement learning environments and post-training data for AI labs. As a Research Engineer focused on QC Automation, you will own the systems that ensure training data quality at scale, sitting within a roughly 15-person engineering team of competitive programming medalists, published researchers, and AI startup founders. WHAT YOU'LL DO

• Design and build automated quality control systems for training data produced via the company's infrastructure, grounded in human judgment rather than heavy LLM reliance.
• Define and enforce quality standards for RL training data across diverse tasks and environments.
• Design experiments and metrics to evaluate and grade agent outputs.
• Partner with data vendors to identify and debug quality issues, diagnose agent failure modes, and drive improvements to their data generation workflows.
• Translate QC findings into auditing systems, including sampling strategies and rule-based or model-assisted validation pipelines.
• Continuously feed QC learnings back into infrastructure tooling and the vendor portal to reduce anomalies, inconsistencies, and edge cases over time. WHAT WE'RE LOOKING FOR
• 2 to 4 years of experience in engineering or research roles with a focus on QC automation or data quality.
• Strong proficiency in Python, Docker, and Linux environments.
• Proven track record 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.
• Ability to define and measure quality standards for training data using human understanding rather than delegating judgment to LLMs.
• Experience designing metrics and experiments to grade agent outputs.
• Comfort working with statistics and applying them to QA/QC process design.
• Strong written and verbal communication skills for collaborating across time zones.
• Genuine curiosity, autonomy, and the ability to thrive in fast-paced, early-stage startup environments with unstructured problem spaces. COMPENSATION & BENEFITS Salary range: $150,000 to $250,000 USD annually. Visa sponsorship is available. LOCATION On-site in Singapore. Fully remote independent contractor arrangements may also be considered for candidates based outside Singapore, particularly in Europe.

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