Research Engineer, QC Automation

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Research Engineer, QC Automation in Others new

Clera
Full time
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Others
11/05/2026
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Singapore, Singapore

Responsibilities

Automate quality control for training data generated in reinforcement-learning environments.
Define and enforce data-quality standards using human judgment and clear evidence.
Design experiments and metrics to evaluate agent outputs.
Investigate quality issues with data vendors, diagnose agent failure modes, and improve data-generation processes.
Build auditing systems with sampling strategies and rule-based or model-assisted validation pipelines.
Improve infrastructure tools and vendor portals to reduce anomalies, inconsistencies, and edge cases.

Requirements

Two to four years of experience as a research engineer or in a similar engineering or research role focused on quality-control automation.
Technical education or equivalent technical experience, with proficiency in Python, Docker, and Linux.
Experience building scalable data-validation pipelines and end-to-end automated QA/QC systems in unstructured problem spaces.
Experience with benchmarks and evaluations for reinforcement-learning training data, including realistic tasks, reliable rubrics, and useful trajectories.
Experience defining and measuring training-data quality and designing evaluation metrics, experiments, and QA/QC processes.
Knowledge of statistics, strong communication skills, curiosity across domains, and the ability to collaborate independently across time zones.

Benefits

Visa sponsorship is available.
The role is onsite in Singapore, Singapore.

Salary: $100k - $170k/yr

Clera

Clera harnesses the power of artificial intelligence to match high-growth startups with exceptional talent, streamlining the entire headhunting process. This innovative approach simplifies the job search for candidates while providing startups with access to a curated pool of skilled professional...

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