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Mid-Level Research Engineer

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Mid-Level Research Engineer in Others new

  • Singapore, Singapore

Responsibilities

  • Build and improve scalable systems that automate quality control for reinforcement-learning training data.
  • Define and enforce data-quality standards using human judgment and domain understanding.
  • Design experiments and metrics to evaluate agent outputs and training data.
  • Investigate quality issues with data vendors, diagnose agent failures, and provide actionable feedback.
  • Develop sampling strategies, audits, and rule-based or model-assisted validation pipelines.
  • Integrate quality checks into internal 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 focused on quality-control automation.
  • Proficiency with Python, Docker, and Linux.
  • Experience building scalable data-validation and automated QA/QC systems end to end.
  • Experience with benchmarks and evaluations for reinforcement-learning data, including realistic tasks, reliable rubrics, and useful training trajectories.
  • Knowledge of statistics and the ability to define data-quality standards, metrics, experiments, and quality-assurance processes.
  • Strong communication skills and the ability to work independently in unstructured environments.

Benefits

  • Annual salary range of USD 150,000 to USD 250,000.
  • Visa sponsorship is available.
  • Primary location is Singapore with an on-site work arrangement.
  • Fully remote independent-contractor arrangements may be available for candidates based elsewhere.

Salary: $150k - $250k/yr

Clera

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