Founding AI Data Quality Engineer

Prolific; Mexico; On-site; PHP 5,545,286 - 8,009,857; Full time

Benefits offered by this job

Remote work

Equity

Benefits

Job summary

Prolific seeks a Human Data Quality Engineer (Founding Team) to build the quality systems behind AI models. You’ll design evaluation frameworks, partner with frontier labs, and embed quality into study design and client delivery.

This is a strategic, high-visibility role with ambiguity and collaboration across product, engineering and data teams. You’ll translate client needs into robust data and evaluation strategies, architect dashboards, and drive scalable quality improvements across the

Qualifications

• 5+ years building quality/evaluation/annotation systems in AI or human data environments.
• Strong Python and SQL skills with data-driven problem solving.
• Understanding of ML pipelines and how human data affects model performance.
• Ability to interact with senior stakeholders and frontier labs.

Responsibilities

• Design quality frameworks for complex human data programmes, from evaluation rubrics to launch readiness.
• Advise on project design and how schema choices impact data quality.
• Build upstream quality across recruitment, screening, and training processes.

Skills

Python

SQL

Data quality

Statistics

Stakeholder communication

Job description

Prolific seeks a Human Data Quality Engineer (Founding Team) to build the quality systems behind AI models. You’ll design evaluation frameworks, partner with frontier labs, and embed quality into study design and client delivery.

This is a strategic, high-visibility role with ambiguity and collaboration across product, engineering and data teams. You’ll translate client needs into robust data and evaluation strategies, architect dashboards, and drive scalable quality improvements across the