Data Science & Quantitative Analysis Expert

$60–90/hr

139 people hired

RemoteUSTechnology1-3 YearsContractPosted Aug 18, 2026

About this role

You will serve as a ground-truth expert for advanced AI evaluation benchmarks involving real-world data science and quantitative analysis. | The role involves designing complex analytical tasks covering data cleaning, statistical analysis, method comparison, interpretation, and reporting. | You will create reproducible reference analyses and evaluate where frontier AI models succeed or fail. | This is a full-time W-2 role, fully remote within the United States.

Responsibilities

Design realistic data-analysis tasks involving messy datasets, statistical testing, method comparison, and interpretation.
Create clear and reproducible reference analyses using Jupyter Notebooks or Google Colab.
Evaluate AI-generated analyses for statistical accuracy, methodological rigor, and validity of conclusions.
Collaborate with researchers and other experts to maintain consistent benchmark and evaluation standards.

Qualifications

MSc or PhD in Statistics, Data Science, or another quantitative STEM field, or equivalent research-intensive analytical experience.
Minimum 1+ year of experience in research, research engineering, data science, or a heavy quantitative-analysis role.
Strong proficiency in Python, pandas, NumPy, Git, Jupyter/Colab, data cleaning, correlation analysis, and hypothesis testing.
Excellent analytical judgment, written communication, attention to detail, and ability to independently solve ambiguous problems.