Data Science & Analysis - AI Training - Charlotte, US

Role overview Use your data science or analytics expertise to assess and improve AI systems through paid, project-based evaluation tasks. Work may include reviewing model answers, checking statistical reasoning, and running code; an initial skills assessment determines suitability, and some tasks require an uninterrupted hour.

Responsibilities - Assess AI-generated analyses for accuracy, clarity, and completeness. - Verify statistical claims, formulas, proofs, and conclusions against reliable references. - Run Python or R scripts to check results and edge cases. - Document where models reason well or struggle with data problems and predictive modeling. - Check that responses follow task instructions and professional standards.

Requirements - Bachelor’s, master’s, or doctoral degree in data science, statistics, mathematics, or a related quantitative field. - Practical experience in data analysis, predictive modeling, or machine learning engineering. - Strong statistical problem-solving skills and ability to interpret complex visualizations 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 awareness of their limitations. - Clear written communication of mathematical ideas and data insights; a PayPal account for payment.

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

Benefits and work setup Tasks are offered flexibly and can be completed remotely. Many are shorter, though some require one uninterrupted hour. Project rates vary; the listing indicates that some work may pay up to $80 per hour.