---
title: "Research Engineer, QC Automation"
company: "Clera"
company_url: "https://www.remjobs.works/companies/clera"
url: "https://www.remjobs.works/job/clera-research-engineer-qc-automation-3c6ad4ff-8823-42ac-9fc7-1c8ccd732808"
apply_url: "https://jobs.ashbyhq.com/clera/437ffad5-56d8-43d1-8731-22f253833cc6"
workplace: onsite
location: "Singapore"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: asia-pacific
skills: ["docker", "linux", "llm", "python"]
date_posted: 2026-09-11T17:37:36.357Z
first_seen_by_remjobs: 2026-09-15T16:29:34.147Z
---

# Research Engineer, QC Automation

**Clera** · Singapore

Apply: https://jobs.ashbyhq.com/clera/437ffad5-56d8-43d1-8731-22f253833cc6

## 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 top-priority hire for a fast-growing AI infrastructure company building the tooling that powers reinforcement learning environments and post-training data for AI labs. As a Research Engineer focused on QC Automation, you will own the systems that ensure training data quality at scale, sitting within a roughly 15-person engineering team of competitive programming medalists, published researchers, and AI startup founders.

##### What You'll Do

- Design and build automated quality control systems for training data produced via the company's infrastructure, grounded in human judgment rather than heavy LLM reliance.

- Define and enforce quality standards for RL training data across diverse tasks and environments.

- Design experiments and metrics to evaluate and grade agent outputs.

- Partner with data vendors to identify and debug quality issues, diagnose agent failure modes, and drive improvements to their data generation workflows.

- Translate QC findings into auditing systems, including sampling strategies and rule-based or model-assisted validation pipelines.

- Continuously feed QC learnings back into infrastructure tooling and the vendor portal to reduce anomalies, inconsistencies, and edge cases over time.

##### What We're Looking For

- 2 to 4 years of experience in engineering or research roles with a focus on QC automation or data quality.

- Strong proficiency in Python, Docker, and Linux environments.

- Proven track record building scalable data validation pipelines and automated QA/QC systems end-to-end, without a fully prescribed roadmap.

- Experience working on benchmarks and evaluations for RL training data, including defining realistic tasks, reliable rubrics, and useful trajectories.

- Ability to define and measure quality standards for training data using human understanding rather than delegating judgment to LLMs.

- Experience designing metrics and experiments to grade agent outputs.

- Comfort working with statistics and applying them to QA/QC process design.

- Strong written and verbal communication skills for collaborating across time zones.

- Genuine curiosity, autonomy, and the ability to thrive in fast-paced, early-stage startup environments with unstructured problem spaces.

##### Compensation & Benefits

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

##### Location

On-site in **Singapore**. Fully remote independent contractor arrangements may also be considered for candidates based outside Singapore, particularly in Europe.

---

Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-research-engineer-qc-automation-3c6ad4ff-8823-42ac-9fc7-1c8ccd732808