AI Data Quality Analyst - Human Data Signals & Insights

Prolific; Ciudad de México; Hybrid; MXN 350,000 - 550,000; Full time

Benefits offered by this job

Hybrid work

Equity

Bonus/commission

Job summary

Prolific is hiring a Human Data Quality Analyst to ensure high-quality human data used for AI model training. You will perform analytical work on datasets, uncover patterns, and recommend improvements to data collection, review, and delivery processes.

You will collaborate with Quality, Engineering, Operations and Delivery, applying statistics, building validations, and turning insights into practical quality controls.

Qualifications

• 1–2 years of practical experience analysing real data in analytical, quality, research or data-focused role.
• Proficiency in SQL and Python for queries and analysis; able to explain results clearly.
• Ability to apply statistics such as sampling, distributions, variability; identify meaningful patterns.

Responsibilities

• Run day-to-day quality measurement across live human-data programmes, using stats and manual review to judge data fitness.
• Investigate quality issues, quantify impact, distinguish errors from broader guidance/training problems.
• Help build data-quality pipelines with engineers, adding validations and automated checks.
• Turn complex analyses into clear storytelling through reports and visualisations for stakeholders.

Skills

SQL

Python

Data analysis

Education

Bachelor's degree preferred

Job description

Prolific is hiring a Human Data Quality Analyst to ensure high-quality human data used for AI model training. You will perform analytical work on datasets, uncover patterns, and recommend improvements to data collection, review, and delivery processes.

You will collaborate with Quality, Engineering, Operations and Delivery, applying statistics, building validations, and turning insights into practical quality controls.