Data Science & Analysis - AI Training - US

Role overview Contribute data science or analytics expertise to paid tasks that help evaluate and improve AI models. Assignments can include reviewing statistical reasoning, checking model-generated insights, and validating code; eligibility is assessed through a brief skills test before access to tasks.

Responsibilities - Assess AI-generated statistical analyses and data insights for accuracy and completeness. - Verify technical claims, calculations, and conclusions using dependable references. - Execute Python or R code to check outputs and test edge cases. - Identify strengths and weaknesses in model reasoning about data and prediction. - Give clear evaluations of whether responses meet the task's technical guidelines.

Requirements - A bachelor's, master's, or doctoral degree in data science, statistics, mathematics, or a closely related quantitative discipline. - Hands-on experience with data analysis, predictive modeling, or machine learning engineering. - Ability to solve statistical problems and interpret complex data visualizations independently. - Strong attention to detail and substantial experience using language models in data workflows, with an understanding of common failure modes. - Clear written communication and proficiency in Python or R, plus advanced SQL skills. - A PayPal account for receiving payments.

Nice to have Familiarity with Pandas, NumPy, Scikit-learn, Tableau, Power BI, Matplotlib, Seaborn, PyTorch, TensorFlow, or statistical modeling methods.

Benefits and work setup Work is remote and schedule-flexible. Some paid assignments require an uninterrupted hour, while many are shorter. Task rates may reach $80 per hour, depending on the work. Applicants complete a short assessment before being considered for tasks.