Responsibilities
• Design realistic data-analysis challenges (data cleaning, statistical analysis, comparing methods, interpreting results)
• Author clear, reproducible reference analyses in Jupyter or Google Colab
• Build tasks that require fair comparison between analytical approaches with spot checks and recommendations
• Review how AI models handle your tasks and verify whether their statistics and conclusions hold up
• Collaborate with researchers and fellow experts to keep evaluations consistent and accurate

Requirements
• MSc or PhD in statistics, data science, or another quantitative STEM field, or equivalent practical experience in a research-heavy analytical domain
• 1+ years of experience in a research, research-engineering, or heavy data-analysis role
• Deep hands-on data-analysis skills (data cleaning, statistical correlation, hypothesis testing, interpretation)
• Proficiency with Jupyter Notebooks or Google Colab for analysis and reporting
• Working proficiency in Python (pandas, NumPy, or similar) and Git
• Strong ability to communicate analytical findings in writing
• Perfectionist mindset with high attention to detail, creativity in task design, and ability to work independently on ambiguous problems
• Ability to engage reliably for ~35 hours per week

Preferred
• Past experience in AI training, model evaluation, or benchmark/task authoring

How to Apply
Click "Apply" to be taken to the Mercor website. Complete your profile by uploading your resume and confirming your work location. Once verified, you will be matched to opportunities as they arise. Please note that this role cannot support H1B or STEM OPT candidates. Applying through our link supports WFH Bulletin as a referral partner, but you are welcome to apply directly if you prefer.