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Research Engineer, QC Automation

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Research Engineer, QC Automation in Others

  • Singapore, Singapore

Responsibilities

  • Design and build automated quality-control systems for training data using human judgment rather than heavy LLM reliance.
  • Define and enforce quality standards for reinforcement-learning training data across tasks and environments.
  • Design experiments and metrics to evaluate and grade agent outputs.
  • Partner with data vendors to diagnose quality issues, agent failure modes, and data-generation workflow problems.
  • Build auditing systems with sampling strategies and rule-based or model-assisted validation pipelines.
  • Feed QC findings back into infrastructure tooling and the vendor portal to reduce anomalies, inconsistencies, and edge cases.

Requirements

  • 2–4 years of experience in engineering or research roles focused on QC automation or data quality.
  • Strong proficiency in Python, Docker, and Linux environments.
  • Experience building scalable data-validation pipelines and automated QA/QC systems end-to-end.
  • Experience with benchmarks and evaluations for reinforcement-learning training data, including realistic tasks, reliable rubrics, and useful trajectories.
  • Ability to define and measure training-data quality using human understanding rather than delegating judgment to LLMs.
  • Experience designing metrics and experiments to grade agent outputs.
  • Comfort applying statistics to QA/QC process design.
  • Strong written and verbal communication skills, curiosity, autonomy, and ability to work in fast-paced, unstructured startup environments.

Benefits

  • Visa sponsorship is available.
  • The role is on-site in Singapore.
  • Fully remote independent-contractor arrangements may be considered for candidates outside Singapore, particularly in Europe.

Salary: $150k - $250k/yr

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