Data Science & Analysis - AI Training - Nashville, US

Role overview Apply data science or analytics expertise to paid tasks that train and assess AI models. After a short skills assessment, successful applicants may be invited to review model responses, check technical work, and provide feedback on how systems reason through data problems.

Responsibilities - Assess AI-generated analyses and data insights for accuracy, clarity, and completeness. - Verify statistical claims, formulas, and mathematical reasoning against reliable references. - Run data scripts in Python or R to check results and edge cases. - Describe model strengths and weaknesses in analysis, prediction, and statistical reasoning. - Check that responses follow task guidelines and maintain appropriate technical standards.

Requirements - Bachelor’s, master’s, or doctoral degree in data science, statistics, mathematics, or a closely related quantitative discipline. - Practical experience in data analysis, predictive modeling, or machine learning engineering. - Strong statistical problem-solving skills and the ability to interpret complex visualizations independently. - Careful attention to detail, including spotting flawed logic in statistical arguments or interpretations. - Substantial experience using large language models in data workflows, with an understanding of their common errors. - Clear communication of mathematical ideas and data findings; a PayPal account is needed to receive payment.

Nice to have - Proficiency in Python with tools such as Pandas, NumPy, or scikit-learn, or in R; advanced SQL; data visualization with Tableau, Power BI, Matplotlib, or Seaborn; and familiarity with machine learning frameworks such as PyTorch or TensorFlow.

Benefits and work setup Tasks are paid, with rates advertised by researchers of up to $80 per hour; actual rates may vary. Work is flexible and remote, though some tasks require one uninterrupted hour and many are shorter. Applicants first complete a 10–15-minute skills assessment.