Are you a statistics expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline data analysis for scientists everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.
We’re looking for statistics specialists who live and breathe probability theory, statistical modeling, data analysis, hypothesis testing, regression analysis, multivariate statistics, Bayesian inference, time series analysis, experimental design, and machine learning algorithms. You’ll challenge advanced language models on topics like statistical inference, model selection, sampling methods, causal inference, ANOVA, and statistical power—documenting every failure mode so we can harden model reasoning.
On a typical day, you will converse with the model on data scenarios and theoretical statistics questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
A master’s or PhD in statistics, data science, mathematics, or a closely related field is ideal; peer‑reviewed publications, applied statistical research, or hands-on experience with large datasets signal fit. Clear, metacognitive communication—“showing your work”—is essential.
Ready to turn your statistics expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
We offer a pay range of $6-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level