---
title: "Research Engineer, Benchmarks"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-research-engineer-benchmarks-b91d497d-6df8-4e6a-843b-86266a32437f"
apply_url: "https://jobs.ashbyhq.com/clera/160498c1-5338-4362-bf51-4d15d30756df"
workplace: onsite
location: "Singapore"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: asia-pacific
skills: ["docker", "linux", "llm", "python"]
date_posted: 2026-09-18T17:26:56.642Z
first_seen_by_remjobs: 2026-09-18T18:17:11.665Z
---

# Research Engineer, Benchmarks

**Clera** · Singapore

Apply: https://jobs.ashbyhq.com/clera/160498c1-5338-4362-bf51-4d15d30756df

## 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 core technical role on a small, high-caliber team building rigorous benchmarks to evaluate frontier AI agents on realistic, domain-specific workflows. You will own the design and implementation of evaluations that frontier labs and enterprise customers rely on to understand real-world agent performance. The work is critical to the credibility and impact of the company's benchmark platform.

##### What You'll Do

- Design, implement, and maintain the quality of internal benchmarks for evaluating frontier agents on domain-specific tasks.

- Partner with subject-matter experts to define realistic workflows and translate them into well-scoped evaluation tasks.

- Build reliable infrastructure to run models and agents against benchmark tasks at scale.

- Develop metrics and statistical analyses that measure benchmark difficulty, reliability, and failure modes.

- Validate that benchmark performance correlates with real-world evaluations and customer expectations.

- Write clear technical documentation and benchmark reports for research and engineering audiences.

##### What We're Looking For

- 2 to 4 years of experience in research engineering or machine learning engineering, with a focus on AI benchmarks, evaluation infrastructure, or agent environments.

- Strong proficiency in Python, Docker, and Linux for building research or production infrastructure.

- Hands-on experience designing and running benchmarks or evaluation environments for AI agents or large language models.

- Experience developing metrics and validation studies to assess benchmark difficulty, reliability, and real-world correlation.

- Experience collaborating with domain experts to turn workflows into concrete evaluation criteria.

- Strong technical writing skills; published papers or blog posts on AI benchmarking, model evaluation, or failure modes are a plus.

- Experience with reinforcement learning training pipelines, data generation, or RL agent evaluation is a plus.

- Background at a frontier AI lab, research institution, or on a widely used public benchmark project is a plus.

- Comfort working independently in fast-paced, early-stage environments with unstructured problem spaces.

- Sharp attention to detail and the ability to reason from first principles about task design, scoring, and edge cases.

##### 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-benchmarks-b91d497d-6df8-4e6a-843b-86266a32437f