Human Data Quality Engineer at Prolific

Language

Location: Mexico
Level: not_specified
Posted: Jul 21, 2026

Description

Prolific is seeking a Human Data Quality Engineer to join their newly formed AI Data Services team. This role focuses on defining and implementing quality systems for human data used in AI model training. The successful candidate will work strategically with clients and AI labs to translate model needs into robust human data and evaluation strategies, emphasizing proactive quality assurance throughout the entire lifecycle. They will also contribute to building scalable quality infrastructure, investigating data quality issues, and raising overall quality capabilities within the company.

Required Skills

Python
SQL
machine learning pipelines
analytical and statistical thinking

Additional Information

Required Previous Experiences: 5+ years of experience in building quality, evaluation or annotation systems within AI, machine learning, LLMs or human data environments.
Preferred Qualifications: 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.
The ability to leverage your experience and expertise to influence and guide stakeholders at every level, both client side and internally.
The ability to turn your own data analysis and quality methodology into requirements that product and engineering can build into systems.
The ability to explain your data analysis and findings clearly to non-technical stakeholders, so they can act on them.