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Research Engineer, QC Automation

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Research Engineer, QC Automation in Others new

  • Singapore (city not specified)

Responsibilities

  • Automate quality control for training data generated through the platform.
  • Define and enforce standards for training-data quality.
  • Design experiments and metrics to evaluate agent outputs.
  • Build scalable data-validation pipelines and automated QA/QC systems.
  • Investigate quality issues and diagnose agent failure modes with data vendors.
  • Develop sampling strategies and rule-based or model-assisted validation pipelines.
  • Incorporate quality insights into infrastructure tools and vendor workflows to reduce anomalies and edge cases.

Requirements

  • Two to four years of experience in research engineering or a related technical role, especially quality-control automation.
  • A technical degree and proficiency with Python, Docker, and Linux.
  • Experience independently building scalable data-validation pipelines and end-to-end automated QA or QC systems.
  • Experience with reinforcement-learning data benchmarks and evaluations, including task design, reliable rubrics, and useful training trajectories.
  • Ability to define and measure training-data quality and design systems using human judgment without heavy reliance on large language models.
  • Experience designing evaluation metrics and experiments and collaborating with data vendors to resolve quality problems.
  • Knowledge of statistics, strong communication skills, curiosity, and the ability to work independently in an early-stage environment.

Benefits

  • Visa sponsorship is available.
  • The role is on-site in Singapore, Singapore.

Salary: $100k - $170k/yr

Clera

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