Human Data Quality Engineer (Founding Team)

Highlights

• Founding member building quality systems for advanced AI models.
• Partner with frontier AI labs to shape human data strategies.
• Engineer quality across full lifecycle from design to delivery.

What they offer

• Competitive salary
• Equity
• Benefits
• Bonus potential

Ideal candidate

Innovative systems thinker comfortable with ambiguity who loves defining quality where none exists and partnering with frontier labs to advance ethical, high-quality human data for AI.

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.