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Clera

Research Engineer, Synthetic Data (Mid-Level)

Singapore
Salary
$100,000 - $170,000 annually
Level
Mid
Work type
On-site · Singapore
Visa
Sponsors visas

Open. First seen 12 October 2026.

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The team: Engineering HIRES STEADILY

This role is one of 246 open in Engineering. 180 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (118 of 246), TypeScript (112 of 246), Python (103 of 246), React (92 of 246), Machine Learning (61 of 246), PostgreSQL (44 of 246), JavaScript (41 of 246)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

About the Role

Join an AI evaluation and reinforcement learning team building synthetic data pipelines for AI agents. You will turn real-world professional workflows into scalable training tasks and develop ways to measure whether those tasks improve model capabilities.

What You'll Do

  • Build pipelines that transform domain-specific workflows into realistic, structured, and challenging synthetic training tasks.
  • Collaborate with subject-matter experts to create tasks across professional and technical domains.
  • Develop methods and tools to generate, mutate, validate, and improve synthetic tasks.
  • Analyze agent performance to understand what tasks teach and where they fail.
  • Create metrics for task diversity, realism, learnability, and overall quality.

What We're Looking For

  • Two or more years in software engineering, machine learning engineering, or AI research, with relevant experience building data pipelines or ML infrastructure.
  • Hands-on experience applying synthetic data research methods to build end-to-end generation pipelines.
  • Proficiency in Python and experience working in Linux environments with Docker.
  • Understanding of synthetic data quality, evaluation metrics, and the limitations of generated data.
  • Experience building evaluation frameworks, benchmarks, or testing environments for AI agents or language models.
  • Ability to independently deliver technical projects, build automated data systems, and spot subtle quality issues and edge cases.
  • Familiarity with reinforcement learning, agent workflows, or model post-training is useful.

Compensation & Benefits

Salary range: USD 100,000 to 170,000 annually. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.

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