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Mid-Level Research Engineer

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Mid-Level Research Engineer in Others

  • Singapore, Singapore

Responsibilities

  • Build automated quality control systems for training data using human judgment and data analysis.
  • Define and enforce quality standards for reinforcement learning training data.
  • Design experiments and metrics to assess agent outputs and training data quality.
  • Investigate data quality issues with vendors, diagnose agent failure modes, and improve data-generation processes.
  • Develop sampling strategies and rule-based or model-assisted validation pipelines.
  • Improve infrastructure tools and vendor workflows to reduce anomalies, inconsistencies, and edge cases.

Requirements

  • Two to four years of experience in research engineering or a similar quality-control automation role.
  • Proficiency with Python, Docker, and Linux.
  • Experience building scalable data validation pipelines and end-to-end automated QA or QC systems.
  • Background in reinforcement learning data benchmarks and evaluations, including task design, reliable rubrics, and useful training trajectories.
  • Experience measuring training data quality, designing experiments and metrics, and creating quality-control processes.
  • Strong statistical understanding, communication skills, curiosity, and ability to work independently in unstructured, fast-paced environments.

Benefits

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

Salary: $100k - $170k/yr

Clera

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