Member of Technical Staff - Data Quality Engineer (Post-training)
Tasks
- Analyze training and evaluation datasets for quality issues
- Build reusable QA pipelines for model training and evaluation data
- Design validate and scale automated QA methods
- Drive continuous iteration on quality standards processes and acceptance criteria
- Monitor and report data quality over time
- Operationalize data quality standards for reasoning alignment and agentic use cases
- Provide actionable feedback to data vendors
- Translate requirements into measurable quality signals
Perks/Benefits
- Dental insurance
- Health insurance
- Life insurance
- Paid parental leave
- Unlimited paid time off
- Visa sponsorship
- Vision insurance
Skills/Tech-stack
Automated testing | Data Pipelines | Data Validation | Evaluation | LLM-as-a-Judge | Language Models | Large Language Models | Machine Learning | Python | Quality Assurance | Statistical Methods
Education
N/A
Regions
Countries
States
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