Responsibilities
• Design multi-step research tasks based on real scientific workflows (study design, hypothesis testing, implementation, analysis)
• Author clear, rigorous reference solutions in Python and notebooks
• Define what separates sound scientific reasoning from reasoning that merely sounds right
• Review model attempts and flag methodological mistakes a working researcher would catch
• Collaborate with researchers and fellow experts to keep evaluations consistent and accurate

Requirements
• MSc or PhD in a STEM field, or in a computational social-science or humanities discipline, or equivalent practical experience in a research-heavy domain
• 1+ years of experience in an active research role (academia, industry, or national labs)
• Your own research involves significant computational work (Python-based analysis, simulation, modeling, or data pipelines)
• Strong grounding in experimental design, hypothesis testing, and rigorous evaluation of results
• Working familiarity with Git, IDEs, and notebook environments (Jupyter or Colab)
• Perfectionist mindset with high attention to detail, creativity in task design, strong written communication, 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.