Statistician for AI Training

Create expert-level questions and scenarios based on statistical modeling research, then assess AI-generated responses and give clear written feedback. The work focuses on statistical and biostatistical reasoning. Review the duties and qualifications before applying.

• Write training questions based on real statistical methods and research.
• Review AI responses for accuracy, relevance, and sound statistical reasoning.
• Provide structured feedback to help improve AI responses.
• Work independently in a remote, asynchronous setting.

• Work arrangement: Part-time, project-based contract work with flexible pacing, no set schedule, and no minimum hour requirement.
• Language: Fluent in English.
• Education: A bachelor's, master's, or Ph.D. degree in statistics, biostatistics, econometrics, data science, or a related quantitative field.
• Expertise: Deep knowledge in at least one statistical or biostatistical methods area, with experience applying quantitative methods to research, data, or scientific questions.
• Tools: Proficiency with R, Python, Stan, or similar statistical computing and modeling tools.
• You should be engaged with current statistical or biostatistical research and have strong writing, attention to detail, and the ability to work independently.
• Relevant methods include Bayesian methods, causal inference, regression, experimental design, longitudinal analysis, time-to-event analysis, and time series analysis.