Applied Statistician (Survey, Actuarial, Quality)

You will write research-level problems that test and improve AI models. Your work should draw on practical statistics and real operational, survey, or insurance data rather than only theoretical methods.

You will work independently across approved assignments and explain your technical work clearly. Problems and supporting materials must be accurate, meaningful, and well documented.

• Create applied statistics problems for AI training.
• Use experience with messy real-world operational, survey, or insurance data.
• Write clear, accurate technical material in your area of expertise.
• Manage your own time across flexible assignments.

What it pays and takes

This is flexible, task-based independent-contractor work. There is no fixed weekly schedule.

• $50 per hour.
• Open to candidates in the countries listed for this role.
• Fluent in English and able to write clearly about technical work.
• Hands-on experience working with your own real operational, survey, or insurance data.
• Working knowledge of Python or a similar language for data analysis.
• Able to work independently as an individual contractor without visa sponsorship.
• A master's or PhD in statistics, biostatistics, or a related field is helpful.
• An actuarial credential and applied industry or agency experience are valued.
• Experience with messy real datasets, R, public code, a thesis, papers, data annotation, or AI evaluation is beneficial.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind modern AI systems. People write examples, review model outputs, and prepare data so models can learn; experienced contributors are paid for applying their subject knowledge carefully.