Statistics Expert

* Label and categorize statistical expressions, datasets, equations, and problems to build high-quality AI training data * Map relationships between statistical concepts — including probability distributions, hypothesis testing, regression, and causal inference — to help AI models understand the structure of the field * Review and evaluate AI-generated solutions to statistics problems, identifying errors and providing clear, step-by-step corrections * Develop comprehensive training content spanning a wide range of statistical topics and difficulty levels * Red-team AI outputs to surface biases, inaccuracies, or reasoning failures, and design targeted tests to ensure robust, real-world performance

Who You Are

* Deep expertise in probability and statistics, demonstrated through research, teaching, or applied work * Enrolled in or completed a Bachelor's degree or higher in Statistics, Mathematics, Data Science, or a related field * Able to communicate complex statistical concepts clearly and precisely in written English * Detail-oriented with experience building or reviewing rigorous technical or educational content * Self-motivated and comfortable working independently in an asynchronous environment

Nice to Have

* Hands-on experience with causal inference and experimental design * Background in data science, econometrics, biostatistics, or quantitative social science * Prior experience with data labeling, RLHF, or AI model evaluation workflows

Why Join Us

* Work on cutting-edge AI projects trusted by leading research labs and Fortune 500 teams * Fully remote and asynchronous — work from anywhere, on your own schedule * High-impact work: your contributions directly improve AI models used at scale * Clear ownership of your tasks with real autonomy to deliver quality work * Consistent high performers take on expanded responsibilities and mentor incoming subject matter experts * Potential for ongoing work and contract extension as new projects launch