Data Quality Engineer (Pre-Training) - ML QA & Pipelines

Reflection AI; San Francisco (CA); On-site; USD 60,000 - 240,000; Full time

Benefits offered by this job

Top-tier compensation

Comprehensive medical, dental, vision insurance

Fully paid parental leave

Paid time off

Daily lunches and dinners

Job summary

A leading AI research company in California seeks a Data Quality Engineer to ensure data quality for model training. This role requires strong engineering fundamentals, experience with data pipelines, and a detail-oriented approach. You will partner with researchers to design quality assurance methods and manage data quality over time. The company offers a competitive salary ranging from $60,000 to $240,000 and comprehensive benefits, including health insurance and paid parental leave.

Qualifications

• Strong engineering fundamentals in data pipelines or QA systems.
• Detail-oriented with an analytical mindset.
• Understanding of data quality impact on model performance.
• Experience designing automated quality checks.
• Autonomous problem ownership and effective collaboration skills.

Responsibilities

• Own upstream data quality for LLM pre-training.
• Partner with research teams to translate requirements into quality signals.
• Design and validate automated QA methods.
• Build scalable QA pipelines for data delivery.
• Monitor and report on data quality standards.

Skills

Proficiency in Python

Experience with large datasets

Automated evaluation systems

Excellent communication skills

Job description

A leading AI research company in California seeks a Data Quality Engineer to ensure data quality for model training. This role requires strong engineering fundamentals, experience with data pipelines, and a detail-oriented approach. You will partner with researchers to design quality assurance methods and manage data quality over time. The company offers a competitive salary ranging from $60,000 to $240,000 and comprehensive benefits, including health insurance and paid parental leave.