---
title: "Research Engineer, Synthetic Data"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-research-engineer-synthetic-data-4ab493d3-47aa-4f24-96d8-eb6c930fd4ea"
apply_url: "https://jobs.ashbyhq.com/clera/a7cb3407-2678-4f83-8682-c282970e5df9"
workplace: onsite
location: "Singapore"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: asia-pacific
skills: ["docker", "linux", "llm", "python"]
date_posted: 2026-09-12T17:04:15.921Z
first_seen_by_remjobs: 2026-09-15T16:29:34.147Z
---

# Research Engineer, Synthetic Data

**Clera** · Singapore

Apply: https://jobs.ashbyhq.com/clera/a7cb3407-2678-4f83-8682-c282970e5df9

## About Clera

Stop applying to startups. Start getting introduced. Clera connects you directly with hiring managers at the companies you want to work for.

## About the role

##### 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 design and build the pipelines that turn domain-specific workflows into scalable, high-quality training tasks for AI agents, directly expanding what the models can do.

##### 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 understand what they teach and where they fail.

- Develop metrics to quantify 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 a focus on data pipelines, ML infrastructure, or synthetic data systems.

- Hands-on experience applying synthetic data research methods to build end-to-end data generation pipelines for AI/ML applications.

- Proficiency in Python and comfortable working in Linux environments with containerization tools such as Docker.

- Strong understanding of synthetic data quality criteria, including diversity, realism, and learnability, and awareness of its inherent limitations.

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

- Proven ability to independently own and deliver technical projects end-to-end with minimal predefined requirements.

- Detail-oriented approach to spotting edge cases and subtle inconsistencies in algorithmically generated datasets.

- Familiarity with reinforcement learning training paradigms, agentic AI workflows, or LLM post-training pipelines is a plus.

- Experience creating synthetic tasks or evaluations across multiple distinct professional or technical domains is a plus.

- Comfortable thriving in unstructured, early-stage startup environments and collaborating across time zones.

##### Compensation & Benefits

Salary range: **$150,000 to $250,000 USD annually**. Visa sponsorship is available.

##### Location

On-site in **Singapore**.

---

Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-research-engineer-synthetic-data-4ab493d3-47aa-4f24-96d8-eb6c930fd4ea