Statistician - Remote AI Research Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires statisticians and biostatisticians to shape how AI models handle advanced quantitative reasoning. The work is part-time, remote, and project-based, so you can fit it around a current research or teaching role. You will write expert-level questions drawn from applied statistical methods such as Bayesian inference, causal inference, and longitudinal analysis, then judge model answers for accuracy and methodological soundness. Contributors set their own hours and complete tasks with no minimum hour requirement. Feedback you write helps improve how AI systems explain and apply statistical concepts.
What You'll Do5
- 1Build training prompts and scenarios that reflect actual statistical modeling research and applied methods.
- 2Inspect AI-generated answers for factual errors, flawed reasoning, and gaps in statistical methodology.
- 3Score model responses against accepted practice in fields such as biostatistics, econometrics, and causal analysis.
- 4Write structured critiques that explain where a model's reasoning fails and how it should change.
- 5Work through assignments on your own schedule, with no required hours or fixed deadlines.
Requirements6
- 1Degree in statistics, biostatistics, econometrics, data science, or another quantitative discipline at bachelor's level or higher.
- 2Advanced command of at least one specialty: Bayesian methods, causal inference, regression, experimental design, longitudinal analysis, survival or time-to-event models, or time series.
- 3Track record of using statistical methods on live research questions, data sets, or scientific problems.
- 4Up-to-date knowledge of statistical or biostatistical literature and current methods.
- 5Comfort with R, Python, Stan, or comparable statistical computing and modeling software.
- 6Clear writing, close attention to detail, and the ability to work on your own in a remote setting.
Who Should Apply
The strongest applicants hold a graduate degree in statistics, biostatistics, econometrics, or data science and can point to published or applied work in one or more advanced methods. They write with precision, explain modeling choices in plain language, and keep current with the literature. Candidates who only took introductory statistics courses or who have never applied methods to real data tend to score low, because the tasks demand expert-level judgment. The role is less suitable for people who need fixed schedules, regular supervision, or a permanent position. Applications also suffer when a candidate lists a broad range of methods but cannot show depth in any one area.
Salary Insight
Handshake AI lists compensation at $75 per hour. That rate sits well above many academic research assistant or adjunct statistics positions and matches the upper end of expert AI training work that requires a graduate-level quantitative background. Because the engagement is part-time and project-based, total earnings depend on how many tasks you accept; no minimum hours are guaranteed.
Pay and demand for Data Science & Analytics roles
AggregatedTypical pay
$70/hour
This role
$75/hr
Most Data Science & Analytics roles pay $45–$85 per hour. This role's pay falls inside that range.
Based on 120 similar roles that publish pay · 18 publish only a top rate; those count at the rate they gave
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Compensation
$75/hr
Required Skills
Application Tip
In your application, name the statistical specialties you can defend at an expert level and pair each with a concrete project: for example, a Bayesian hierarchical model you built in Stan, a causal inference analysis in R, or a time-series forecast in Python. Include sample size, data source, and the decision your analysis supported. Avoid listing every method from the posting; depth in two or three areas plus clear writing samples will raise your fit score more than broad familiarity.
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