Data Science & Analysis - AI Training - Edinburgh, UK

prolificacademicltd; United States; Remote; USD 91,000 - 129,000; Full time

Benefits offered by this job

Flexible, remote participation

PayPal payments

Job summary

Prolific Academic Ltd. is seeking contributors to review AI-generated analyses and help improve model reasoning about data. You will verify calculations, run Python/R scripts, and provide feedback on statistical methods during task-based work. A short skills assessment is part of the process.

Successful applicants may be invited to review technical responses, ensure scientific accuracy, and contribute to high-quality data insights. Flexible remote participation is described with pay per task.

Qualifications

• Bachelor's, master's or doctoral degree in data science, statistics, mathematics, or closely related quantitative field.
• Practical experience in data analysis, predictive modelling, or ML engineering.
• Strong statistical problem-solving and ability to interpret complex visualisations.
• Careful reasoning to spot subtle errors in statistical arguments.
• Experience using large language models in data workflows.
• Clear written communication of mathematical concepts and data insights, + PayPal for payment.

Responsibilities

• Assess AI-generated analyses for statistical accuracy, clarity, and completeness.
• Check mathematical reasoning, formulas and data-based conclusions against references.
• Run data scripts in Python or R to check results and edge cases.
• Provide feedback on model reasoning in statistics and predictive modelling.
• Check that responses follow task guidelines and professional standards.

Skills

Data analysis

Predictive modelling

Statistical problem solving

LLM in data workflows

Mathematical communication

Python/R usage

Education

Bachelor's/Master's/PhD in data-related field

Tools

Python

R

Pandas

NumPy

scikit-learn

SQL

Tableau

Power BI

Matplotlib

Seaborn

PyTorch

TensorFlow

Job description

Role overview

Contribute data science and analytics expertise to training and evaluating AI models through paid, task-based work. After a short skills assessment, successful applicants may be invited to review technical responses and help improve how models reason about data. Tasks vary in length; some require an uninterrupted hour. The opportunity is listed for Edinburgh, UK.

Responsibilities

• Assess AI-generated analyses for statistical accuracy, clarity, and completeness.
• Check mathematical reasoning, formulas, and data-based conclusions against reliable references.
• Run data scripts in Python or R to check results and edge cases.
• Provide feedback on model reasoning in areas such as statistical analysis and predictive modelling.
• Check that responses follow task guidelines and professional standards.

Requirements

• A bachelor’s, master’s, or doctoral degree in data science, statistics, mathematics, or a closely related quantitative field.
• Practical experience in data analysis, predictive modelling, or machine learning engineering.
• Strong statistical problem-solving skills and the ability to interpret complex visualisations independently.
• Careful reasoning, including the ability to spot subtle errors in statistical arguments or interpretations.
• Substantial experience using large language models in data workflows, with an understanding of their common failure modes.
• Clear written communication of mathematical concepts and data insights, plus a PayPal account for payment.

Nice to have

• Familiarity with Python libraries such as Pandas, NumPy, and scikit-learn, or with R; advanced SQL; and visualisation tools such as Tableau, Power BI, Matplotlib, or Seaborn.
• Knowledge of machine learning frameworks such as PyTorch or TensorFlow and statistical modelling methods.

Benefits and work setup

• Flexible, remote participation is described. Work is paid by task; the source says rates may reach $80 per hour, depending on the work. A 10–15-minute assessment is part of the selection process.