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.

What it pays and takes

• Pay: Up to $75 per hour.
• Work arrangement: Part-time, project-based contract work with flexible pacing, no set schedule, and no minimum hour requirement.
• Location: Remote; open to candidates in the United States.
• 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.

How it works

OpenTrain is where you find this role and start your application. Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work is the human side of building AI: people create examples and review model responses so systems can learn. This role calls for statistical expertise to develop questions and assess whether AI responses use sound methods.