Data Science & Analysis - AI Training - Oklahoma City, US

Role overview Contribute data science and analytics expertise to the training and evaluation of AI models through paid, individual tasks. The work focuses on checking whether model-generated statistical reasoning, data interpretations, and code are accurate and useful. Applicants complete a short skills assessment before being invited to participate; tasks vary in length, and some require an uninterrupted hour.

Responsibilities - Assess AI-generated analyses for statistical accuracy, clarity, and completeness. - Verify formulas, proofs, and data-based conclusions against reliable references. - Run data scripts to check results, correctness, and handling of edge cases. - Identify strengths and weaknesses in model reasoning about statistics and predictive modeling. - Check that responses follow task guidelines and appropriate technical 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 and data interpretations. - Significant experience using large language models in data workflows, with awareness of their failure modes. - Clear written communication of mathematical concepts and analytical findings. - A PayPal account to receive task payments.

Nice to have - Proficiency in Python or R; familiarity with common data and machine learning libraries and frameworks. - Advanced SQL skills and experience with data visualization tools. - Knowledge of statistical modeling and machine learning methods.

Benefits and work setup - Flexible, remote participation is described; tasks are paid, with some requiring one hour of uninterrupted work.