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Research Engineer, QC Automation

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Research Engineer, QC Automation in Others

  • Singapore, Singapore

Responsibilities

  • Automate quality control for training data produced within reinforcement-learning environments.
  • Define and enforce training-data quality standards using human judgment and domain understanding.
  • Design experiments and metrics to evaluate agent outputs.
  • Investigate quality issues with data vendors, identify agent failure modes, and improve data-generation processes.
  • Build auditing systems with sampling strategies and rule-based or model-assisted validation pipelines.
  • Integrate quality improvements into platform infrastructure and vendor tools to reduce anomalies and inconsistencies.

Requirements

  • Two to four years of experience in research engineering or a similar role focused on quality-control automation.
  • A degree in a technical field and proficiency with Python, Docker, and Linux.
  • Experience building scalable data-validation pipelines and automated QA/QC systems end to end, including in unstructured problem spaces.
  • Background in reinforcement-learning data benchmarks and evaluations, including task design, rubrics, and training trajectories.
  • Experience defining training-data quality standards and building systems guided by human judgment rather than heavy reliance on language models.
  • Knowledge of statistics and experience designing metrics, experiments, and quality-assurance processes.
  • Clear communication, curiosity, independence, and comfort working in a fast-paced startup environment across time zones.

Benefits

  • Salary of $100,000 to $170,000 USD annually.
  • Visa sponsorship is available.
  • On-site work in Singapore, Singapore.

Salary: $100k - $170k/yr

Clera

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