Human Data Quality Engineer (Founding Team)

Highlights

• Founding member of new AI Data Services team shaping quality for frontier models.
• Partner directly with frontier AI labs to design human data evaluation strategies.
• Engineer quality into full lifecycle from study design to client delivery.

What they offer

• Base salary plus equity and benefits with competitive salary
• Cash variable bonus or commission opportunity
• Remote working within impactful, mission-driven culture

Ideal candidate

A strategic, ambiguity-loving quality innovator with deep human-data experience who cares about defining excellence for frontier AI and partnering with labs to make models more accurate and aligned.

Requirements

• 5+ years of experience in building quality, evaluation or annotation systems within AI, machine learning, LLMs or human data environments
• Strong Python and SQL skills, with a passion for using data to solve complex quality problems
• A solid understanding of machine learning pipelines and how human data impacts model performance
• Strong analytical and statistical thinking, with experience designing scalable quality frameworks
• The confidence and credibility to interact with stakeholders at frontier labs and act as a partner