This is a fully remote position, open to applicants in United States.

📋 Description

• Challenge sophisticated language models in areas such as probability, statistical modeling, data analysis, hypothesis testing, regression, multivariate statistics, Bayesian inference, time series analysis, experimental design, and machine learning.

• Evaluate models based on statistical inference, model selection, sampling techniques, causal inference, ANOVA, and statistical power.

• Engage with models regarding data scenarios and theoretical questions in statistics.

• Validate factual accuracy and logical consistency.

• Capture reproducible error traces and document various failure modes.

• Propose enhancements to prompt engineering and assessment metrics.

• Assist in the generation of high-quality training data for large-scale language models.

⛳️ Requirements

• Proficiency in probability theory, statistical modeling, data analysis, hypothesis testing, regression, multivariate statistics, Bayesian inference, time series analysis, experimental design, and machine learning techniques.

• Capability to engage in statistical inference, model selection, sampling methods, causal inference, ANOVA, and statistical power analysis.

• A Master’s or PhD in statistics, data science, mathematics, or a closely related discipline is preferred.

• Evidence of fit may include peer-reviewed publications, applied statistical research, or practical experience with large datasets.

• Strong metacognitive communication skills and the ability to “show your work.”

• Access to a secure computer and high-speed internet connection.

• Location may influence the final compensation offer.