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.