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Research Engineer, Synthetic Data

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Research Engineer, Synthetic Data in Others

  • Singapore, Singapore

Responsibilities

  • Build pipelines that transform domain-specific workflows into realistic, structured synthetic training tasks.
  • Collaborate with subject-matter experts to create tasks across professional and technical domains.
  • Design tools and methods to generate, mutate, validate, and improve synthetic tasks.
  • Analyze model and agent performance to identify strengths, gaps, and failure modes.
  • Develop metrics for task diversity, realism, learnability, and overall quality.
  • Independently deliver technical projects in an unstructured environment.

Requirements

  • Two to four years of relevant experience, including at least two years in software engineering, machine learning engineering, or AI research roles.
  • Hands-on experience building end-to-end synthetic data generation pipelines for AI or machine learning applications.
  • Proficiency in Python and experience working in Linux environments with Docker or similar containerization tools.
  • Practical knowledge of synthetic data quality, evaluation metrics, and generated-data limitations.
  • Experience building automated systems for generating, validating, mutating, or processing structured datasets at scale.
  • Background in AI agent or language model evaluation, benchmarks, testing environments, or post-training workflows.
  • Ability to reason carefully about edge cases and work effectively in an unstructured environment.

Benefits

  • Annual salary of USD $150,000 to $250,000.
  • Visa sponsorship is available.
  • On-site work in Singapore, Singapore.

Salary: $150k - $250k/yr

Clera

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