Research Engineer, QC Automation
New
C
CleraAI Infrastructure
On-site in Singapore. Fully remote independent contractor arrangements may also be considered for candidates based outside Singapore, particularly in Europe.Full-TimeMiddle
Salary150,000 - 250,000 USD per year
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Job Details
- Experience
- 2 to 4 years
- Required Skills
- DockerPythonLinux
Requirements
- 2 to 4 years of experience in an engineering or research role focused on QC automation or a closely related area.
- Proficiency in Python, Docker, and Linux environments.
- Proven track record building scalable data validation pipelines and automated QA/QC systems end-to-end.
- Experience working on benchmarks and evaluations for RL training data.
- Experience defining and measuring quality standards for training data and designing experiments to grade agent outputs.
- Hands-on experience partnering with data vendors to debug quality issues and provide actionable feedback.
- Solid knowledge of statistics and comfort designing metrics and QA/QC processes.
- Comfort working autonomously in unstructured, fast-paced, early-stage startup environments.
Responsibilities
- Automate QC for training data produced by companies using the platform's infrastructure.
- Build QC systems grounded in true understanding and human judgment, rather than heavy reliance on LLMs.
- Define and enforce quality standards for RL training data.
- Design experiments and metrics to grade agent outputs.
- Partner with data vendors to debug quality issues, diagnose agent failure modes, and improve their data generation processes.
- Translate QC findings into auditing systems, including sampling strategies and rule-based or model-assisted validation pipelines.
- Continuously feed QC learnings back into infrastructure tools and the data vendor portal to reduce anomalies, inconsistencies, and edge cases.
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