About the role
Opportunity Overview Handshake is looking for experienced statistical modeling researchers to support AI research through flexible, part-time contract work. This is not a traditional job — you'll draw on your hands-on expertise in Bayesian inference, time series analysis, causal modeling, or applied statistics to evaluate AI-generated content and provide feedback that helps AI better understand advanced statistical reasoning and methodology.
This is an ongoing, project-based opportunity you can take on alongside your current work.
What You'll Do
- Use your domain expertise to create expert-level training questions and scenarios based on real statistical modeling research and methods
- Review and evaluate AI-generated responses for accuracy and relevance to real-world statistical analysis and methodology
- Provide structured written feedback to help improve AI model performance
- Complete tasks at your own pace with no set schedule or minimum hour requirement
Qualifications
- PhD in Statistics, Biostatistics, Econometrics, or a related field from a top 100 US university
- Deep expertise in one or more areas such as Bayesian inference, time series analysis, causal inference, or regression modeling
- Active use of arxiv.org (stat) to stay current with research
- Proficiency with R, Python, Stan, or similar tools
- Strong written communication skills, attention to detail, and the ability to work independently in a remote, asynchronous environment
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