Data Science & Analysis - AI Training - Canterbury, UK

Role overview Apply data science or analytics expertise to paid tasks that train and evaluate AI systems. Work centers on checking technical reasoning, statistical analysis, and data-related code, with participation offered after a short skills assessment. Tasks may require an uninterrupted hour, although many are shorter.

Responsibilities - Assess AI-generated data insights and statistical analyses for correctness, clarity, and completeness. - Verify mathematical reasoning, statistical formulas, and data-based conclusions against reliable references. - Run data scripts, such as Python or R code, to check results and handling of edge cases. - Identify where models reason well or fail when solving analytical problems or developing predictive approaches. - Check that responses follow task guidelines and meet professional standards.

Requirements - A bachelor’s, master’s, or doctoral degree in data science, statistics, mathematics, or a related quantitative discipline. - Practical experience in data analysis, predictive modeling, or machine learning engineering. - Ability to solve challenging statistical problems and independently interpret complex visualizations. - Careful analytical judgment, including the ability to spot subtle flaws in statistical reasoning and data interpretation. - Substantial experience using large language models in data workflows and awareness of their common failure modes. - Clear communication of mathematical ideas and analytical findings; a payment account is required to receive task compensation.

Nice to have - Proficiency in Python with common data and machine learning libraries, or in R; advanced SQL; and data visualization tools such as Tableau, Power BI, or Python plotting libraries. - Familiarity with machine learning frameworks and statistical modeling techniques.

Benefits and work setup The work is described as remote and flexible. The listing cites researcher task rates of up to $80 per hour; actual rates and availability may vary. Candidates complete a 10- to 15-minute assessment before being invited to participate.