Statistical Modeling Researcher - Remote Part-Time
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks statistical modeling researchers for a part-time fellowship that fits around existing commitments. You will apply deep knowledge in Bayesian inference, time series analysis, causal modeling, or applied statistics to assess AI-generated answers and flag gaps in reasoning. The work is project-based, remote, and self-paced, with no minimum hours. Your reviews and written critiques help models handle advanced statistical methodology with greater care.
What You'll Do6
- 1Build expert-level training prompts and scenarios drawn from real statistical modeling projects and methods.
- 2Assess AI responses for mathematical accuracy, methodological soundness, and relevance to practical statistical analysis.
- 3Write structured feedback that names errors, missing assumptions, and weak reasoning in model outputs.
- 4Use current arxiv stat research to shape question design and evaluation criteria.
- 5Check calculations and modeling claims with tools such as R, Python, or Stan.
- 6Set your own schedule and finish tasks at a pace that works for you, with no minimum hour requirement.
Requirements5
- 1PhD in statistics, biostatistics, econometrics, or a related field from a top 100 US university.
- 2Deep command of at least one area: Bayesian inference, time series analysis, causal inference, or regression modeling.
- 3Regular use of arxiv.org (stat) to follow new research.
- 4Hands-on skill with R, Python, Stan, or comparable statistical software.
- 5Strong writing, close attention to detail, and comfort working alone in a remote asynchronous setting.
Who Should Apply
The strongest candidate holds a statistics, biostatistics, econometrics, or related PhD from a top 100 US university and uses Bayesian inference, time series, causal inference, or regression modeling in current research. You also read arxiv stat papers and can write precise critiques in R, Python, or Stan. This fellowship suits someone who wants flexible project work alongside a primary academic or industry role. The role does not suit researchers who need fixed hours, close supervision, or frequent live collaboration. Candidates often lose fit when they list statistical methods without showing hands-on research use, or when their written feedback lacks clear structure and evidence.
Salary Insight
Pay reaches up to $75.00 per hour, and final offers reflect your statistical modeling depth and project scope. The top rate signals demand for PhD-level expertise in Bayesian inference, time series, causal inference, or regression modeling. No fixed salary or benefits appear in the listing because the engagement is project-based and part-time.
Pay and demand for Data Science & Analytics roles
AggregatedTypical pay
$70/hour
This role
up to $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
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
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- excel13%
- data interpretation11%
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Compensation
Up to $75/hr
Required Skills
Application Tip
In your application, name the exact statistical area you know best, such as Bayesian inference or causal inference, and point to one recent arxiv stat paper you read or a project where you used R, Python, or Stan. State your PhD field and university, since the top 100 US university requirement is a hard screen. Avoid vague claims like 'strong statistics background'; give a concrete modeling example with method, data, and outcome.
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