Statistical Modeling Researcher

You will create training data and review AI-generated research content for accuracy, relevance, and alignment with statistical concepts. Your feedback will help improve how AI systems handle statistical research and modeling.

• Create high-quality training data based on statistical research and methodology.
• Evaluate AI-generated responses for technical accuracy and relevance.
• Review topics across statistical theory, methodology, computation, machine learning, and applied statistics.
• Write clear feedback explaining your technical judgments.
• Work independently and asynchronously with AI research teams.

This is ongoing, project-based contract work for researchers with advanced statistical knowledge. Prior AI training experience is not required.

• Schedule: Flexible and asynchronous, with no minimum hour requirement.
• Typical active-project workload: Approximately 5 to 20 hours per week.
• Education: PhD in Statistics, Biostatistics, Applied Statistics, or a related field from a top 100 US university.
• Research background: Experience in statistical theory or methodology, statistical computation or machine learning, or applied statistics and statistics applications.
• Communication: Strong written communication and the ability to explain technical judgments clearly.
• Work style: Careful, detail-oriented evaluation and the ability to work independently.