Applied Statistician (Survey, Actuarial, Quality)

Use your hands-on experience in statistics, biostatistics, actuarial science or a related field to write research-level problems for AI models. Remote, flexible contract work.

AfterQuery works with leading AI labs to build the expert data that tests and trains AI models. We're looking for applied statisticians who work with real operational, survey or insurance data: the messy real-world datasets you work with.

Requirements

• Technical: Working knowledge of Python (R is a plus) for analyzing your own data.

Preferred

• Background: a Master's or PhD in statistics or an actuarial credential, with applied industry or agency work.
• Hands-on work with real data, rather than pure methodology or theory.

Contract and pay

Flexible, independent-contractor work: $300 per approved task, about 6 hours each (roughly $50 per hour), with no cap on how many tasks you take on.

All accepted experts undergo standard background and identity verification.

Responsibilities

• Write research-level problems in your area of expertise
• Work independently and manage your own time
• Keep your work accurate, clear and well documented

Required qualifications

• Hands-on experience working with your own real operational, survey or insurance data in Python or a similar language
• Able to write clearly about technical work in your field
• Able to work independently and manage your own time. This is flexible, task-based work with no fixed weekly schedule

Preferred qualifications

• Master's or PhD in statistics or an actuarial credential, with applied industry or agency work
• Applied methods on messy real datasets; sampling design, reserving, reliability or SPC in production
• Public code, a thesis or papers that show your technical work
• Prior experience in data annotation, data labeling or AI/ML evaluation work

Why apply

• $300 per approved task (roughly $50 per hour)
• Fully remote and flexible, with no fixed weekly schedule