Statistics & Biostatistics Expert

Vraify; Deutschland; Remote; EUR 48,000 - 54,000; Full time

Benefits offered by this job

Remote project-based

Job summary

Vraify is seeking a remote contractor to help us stress-test advanced AI models in statistics and biostatistics. Create, solve, and review difficult, answerable problems, and explain precisely why a solution works or fails.

You will test AI-generated reasoning across fields like Bayesian methods, causal inference, time series, and survival analysis, producing reference answers, derivations, and rubrics for audit by other experts.

Qualifications

• Deep academic or professional expertise in statistics and biostatistics.
• Ability to solve difficult problems independently and explain reasoning clearly.
• Verifiable evidence such as publications, theses, ORCID, or teaching records.

Responsibilities

• Create, solve, or review expert-level statistics problems.
• Test AI-generated answers for errors, assumptions, and reasoning gaps.
• Produce reference answers, derivations, and scoring rubrics for audit.
• Review peer-authored tasks for originality and appropriate difficulty.

Skills

Statistical inference

Bayesian methods

Causal inference

Experimental design

Time series

Survival analysis

Biostatistics

Job description

Help us find where advanced AI models break in Statistics & Biostatistics. Create or solve difficult, answerable problems, test model reasoning, and explain precisely why an answer succeeds or fails. Remote project-based work can pay up to $45/hour, depending on the project and demonstrated expertise.

What you'll do:

• Create, solve, or review expert-level problems in areas such as statistical inference, Bayesian methods, causal inference, experimental design, time series, survival analysis, and biostatistics.
• Probe AI-generated answers for subtle factual errors, invalid assumptions, missing cases, and broken reasoning.
• Produce reference answers, derivations, verification notes, or scoring rubrics that another expert can audit.
• Review peer-authored tasks for originality, ambiguity, answerability, and appropriate difficulty.

What we look for:

• Deep academic, research, clinical, teaching, or professional expertise in one or more of: statistical inference, Bayesian methods, causal inference, experimental design, time series, survival analysis, and biostatistics.
• Ability to solve difficult problems independently and explain technical reasoning in clear written English.
• Verifiable evidence such as a publication, thesis, ORCID or institutional profile, patent, specialist practice, teaching record, or competition result.
• Prior AI-evaluation experience is useful but not required; domain depth and careful judgement matter more.