Description
Prolific is hiring a Human Data Quality Engineer for its founding AI Data Services team. The role designs quality frameworks, evaluation rubrics, annotation schemas, and operational workflows for human data used in advanced AI models; partners with clients and frontier AI labs; builds scalable quality systems using Python and SQL; investigates data quality issues; creates monitoring dashboards; and helps establish quality best practices. The position requires at least five years of experience in AI, machine learning, LLMs, or human data quality, strong Python and SQL skills, and the ability to influence stakeholders and translate data analysis into engineering requirements. The role is remote and includes base salary, equity, benefits, and potential variable compensation.
