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Open nowPosted 4 hours ago

Research Engineer, Synthetic Data

Clera267 open roles

Pay
$100,000 – $170,000 a year
Where
Singapore
Work mode
On site
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Your applicationOpen nowResearch Engineer, Synthetic DataClera · Singapore

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 6 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 4 hours ago

Clera median: 6 days open

The posting

ABOUT THE ROLE

Join a small engineering team building synthetic data systems for AI agents. You will turn domain-specific workflows into scalable training tasks, helping improve how models learn and perform in real-world applications.

WHAT YOU'LL DO

- Build pipelines that convert professional and technical workflows into realistic, structured training tasks.

- Collaborate with subject-matter experts to develop tasks across distinct domains.

- Design methods for generating diverse, realistic, and learnable synthetic tasks.

- Create tools to mutate, validate, and improve generated tasks.

- Analyze agent performance to understand task effectiveness and identify failure modes.

- Develop metrics for task diversity, realism, learnability, and overall quality.

WHAT WE'RE LOOKING FOR

- Two or more years of experience in software engineering, machine learning engineering, or AI research, building and delivering data pipelines, ML infrastructure, or synthetic data systems.

- Technical education or equivalent technical background, with strong Python skills and experience in Linux environments and Docker.

- Hands-on experience applying synthetic data methods to build end-to-end generation pipelines for AI or machine learning.

- Understanding of synthetic data quality, evaluation criteria, and limitations.

- Experience building evaluation frameworks, benchmarks, or testing environments for AI agents or large language models.

- Ability to independently deliver projects in open-ended settings, with careful attention to data quality and edge cases.

- Familiarity with reinforcement learning, agent workflows, or LLM post-training is valuable.

COMPENSATION & BENEFITS

Annual base salary: $100,000 to $170,000 USD. Visa sponsorship is available.

LOCATION

On-site in Singapore, Singapore.

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