Member of Technical Staff - Data Quality Engineer (Pre-training)

Our mission is to build open superintelligence and make it accessible to all. We're developing open weight models for individuals, agents, enterprises, and even nation states. As a Data Quality Engineer, you will ensure that the data used to train our models meets a high bar for quality, reliability, and downstream impact.

Requirements

• Strong engineering fundamentals with experience building data pipelines, QA systems, or evaluation workflows for pre-training data
• Detail-oriented with an analytical mindset, able to identify failure modes, inconsistencies, and subtle issues that affect data quality
• Solid understanding of how data quality impacts pre-training, with the ability to translate quality concerns into concrete signals, decisions, and feedback
• Experience designing and validating automated quality checks, including rule-based systems, statistical methods, or model-assisted approaches such as LLM-as-a-Judge

Benefits

• Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally
• Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance
• Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning
• Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time