Data Quality Engineer - AI/ML Pre-Training

Visa Hunt; San Francisco, Northern (CA, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Top-tier compensation

Stock options

Health & wellness

Meals provided

Job summary

Visa Hunt is seeking a data-focused engineer to own upstream data quality for LLM pre-training. You will design QA workflows, build reusable pipelines, and translate quality signals into concrete actions across languages and modalities.

Collaborate with researchers and external data vendors, scale automated checks, and monitor quality over time to continuously improve model performance. Strong Python skills and experience with large datasets are essential.

Qualifications

• Proficiency in Python and building ML / LLM workflows.
• Experience with large datasets and automated evaluation systems.
• Ability to describe how LLMs are trained and evaluated.

Responsibilities

• Own upstream data quality for LLM pre-training across languages and modalities.
• Translate requirements into measurable quality signals and provide feedback to external data vendors.
• Design, validate, and scale automated QA methods to measure data quality across large campaigns.
• Build reusable QA pipelines that reliably deliver high-quality data to pre-training teams.
• Monitor and report on data quality over time and drive improvements to standards and processes.

Skills

Python

ML/LLM workflows

Debugging & scalable code

Job description

Visa Hunt is seeking a data-focused engineer to own upstream data quality for LLM pre-training. You will design QA workflows, build reusable pipelines, and translate quality signals into concrete actions across languages and modalities.

Collaborate with researchers and external data vendors, scale automated checks, and monitor quality over time to continuously improve model performance. Strong Python skills and experience with large datasets are essential.