Remote Human Data Quality Analyst

aitrainer; México; A distancia; MXN 360.000 - 480.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Flexible hours

Remote work

Competitive compensation

Descripción de la vacante

Prolific is seeking a Human Data Quality Analyst to join its AI Business team on a part-time, remote basis from Mexico. You will perform analytical work on real datasets, identify quality issues, and provide practical recommendations to improve data collection, review, and delivery within AI workflows.

You’ll work with cross-functional teams including Quality, Engineering, Operations and Delivery, applying statistical concepts and building robust data-quality checks and visualisations.

Formación

• 1–2 years of practical data analysis experience.
• Proficiency with SQL and Python for queries and analysis.
• Understanding statistical concepts like sampling and distributions.
• Ability to turn evidence into actionable recommendations.

Responsabilidades

• Run day-to-day quality measurement across live human-data programmes, combining statistical analysis with regular hands-on review.
• Find the signal behind quality issues by investigating changes and quantifying impact.
• Help build the data-quality pipeline with rule-based, LLM, and ML approaches.
• Turn complex analysis into clear storytelling through reporting and visualisations.
• Support new programmes from design through to launch with rubrics and calibration exercises.

Conocimientos

SQL

Python

Data analysis

Educación

Bachelor's degree in a relevant field

Descripción del empleo

Prolific is seeking a Human Data Quality Analyst to join its AI Business team on a part-time, remote basis from Mexico. You will perform analytical work on real datasets, identify quality issues, and provide practical recommendations to improve data collection, review, and delivery within AI workflows.

You’ll work with cross-functional teams including Quality, Engineering, Operations and Delivery, applying statistical concepts and building robust data-quality checks and visualisations.