Mid-Level Research Engineer

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Mid-Level Research Engineer in Others

Clera
Full time
Email

Others
10/07/2026
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Singapore, Singapore

Responsibilities

Build automated quality control systems for training data using human judgment and data analysis.
Define and enforce quality standards for reinforcement learning training data.
Design experiments and metrics to assess agent outputs and training data quality.
Investigate data quality issues with vendors, diagnose agent failure modes, and improve data-generation processes.
Develop sampling strategies and rule-based or model-assisted validation pipelines.
Improve infrastructure tools and vendor workflows to reduce anomalies, inconsistencies, and edge cases.

Requirements

Two to four years of experience in research engineering or a similar quality-control automation role.
Proficiency with Python, Docker, and Linux.
Experience building scalable data validation pipelines and end-to-end automated QA or QC systems.
Background in reinforcement learning data benchmarks and evaluations, including task design, reliable rubrics, and useful training trajectories.
Experience measuring training data quality, designing experiments and metrics, and creating quality-control processes.
Strong statistical understanding, communication skills, curiosity, and ability to work independently in unstructured, fast-paced environments.

Benefits

Annual salary of $100,000 to $170,000 USD.
Visa sponsorship is available.
On-site work 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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