Research Engineer, Synthetic Data
Clera — Singapore
Posted 2026-09-26, as stated by the employer. Pay, in the employer's own words and neither converted nor estimated: $150,000 to $250,000.
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The employer's own description
ABOUT THE ROLE
This is a Research Engineer role focused on synthetic data, sitting within a roughly 15-person engineering team of Olympiad medalists and published researchers. You will build the pipelines that turn domain-specific workflows into scalable, high-quality training tasks for AI agents, directly shaping what models learn and how well they perform.
WHAT YOU'LL DO
- Build end-to-end synthetic data pipelines that transform domain-specific workflows into realistic, structured, and challenging training tasks.
- Collaborate with subject-matter experts to create synthetic tasks for AI agents across professional and technical domains.
- Design task generation methods that produce diverse, realistic, and learnable outputs at scale.
- Build tooling to mutate, validate, and continuously improve synthetic tasks.
- Analyze model and agent performance on synthetic tasks to identify what they teach and where they break down.
- Develop metrics to quantify synthetic task diversity, realism, learnability, and overall quality.
WHAT WE'RE LOOKING FOR
- 2 to 4 years of experience in software engineering, machine learning engineering, or AI research, with hands-on work building data pipelines, ML infrastructure, or synthetic data systems.
- Proficiency in Python and experience developing in Linux environments using containerization tools such as Docker.
- Demonstrated experience applying synthetic data research methods to build end-to-end data generation pipelines for AI/ML applications.
- Strong understanding of synthetic data quality criteria and evaluation metrics, including diversity, realism, and learnability, as well as their inherent limitations.
- Experience designing, implementing, or maintaining evaluation frameworks, benchmarks, or testing environments for AI agents or large language models.
- Track record of independently owning and delivering technical projects end-to-end with minimal predefined requirements.
- Experience building automated systems to generate, validate, mutate, or process structured datasets at scale.
- Sharp eye for edge cases, inconsistencies, and quality issues in synthetic or algorithmically generated data.
- Familiarity with reinforcement learning training paradigms, agentic AI workflows, or LLM post-training pipelines is a plus.
- Comfortable operating in unstructured, early-stage environments and reasoning from first principles.
- Strong communication skills for asynchronous, cross-timezone collaboration.
COMPENSATION & BENEFITS
Salary range: $150,000 to $250,000 USD annually. Visa sponsorship is available.
LOCATION
On-site in Singapore.
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Pulled straight from Clera's own hiring system — never an aggregator, never a repost. A dated posting is served for at most 30 days from the date the employer states, and is dropped the moment their feed stops serving it. This page was built 2026-09-27.