Data Science & Analysis - AI Training - Edinburgh, UK

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.