Skip to job listings
← Back to job listings

Alignerr

Health Policy & Management

About this role

About the Role Your public health expertise is needed where it matters most: ensuring AI gets health right. We're partnering with the world's leading AI research labs to build models that provide accurate, evidence-based health information — and we need MPH-trained professionals to make it happen. This is a fully remote, flexible contract role where your knowledge of epidemiology, biostatistics, health equity, and policy directly shapes how AI reasons about population health. No AI experience required — your domain expertise is what drives the work. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design Complex Public Health Scenarios — Build advanced case studies involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trial data - Author Ground-Truth Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current guidelines from bodies like the CDC and WHO - Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, and adherence to ethical standards; identify misinformation and logical gaps in the model's reasoning - Refine AI Reasoning — Provide structured feedback that helps models distinguish correlation from causation, communicate health risk accurately, and respond appropriately to diverse populations Who You Are - Holds a Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree - Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy - Able to translate complex health data into clear, actionable, and culturally sensitive written content - Precise and detail-oriented when evaluating statistical significance, data citations, and health intervention logic - No prior AI experience required Nice to Have - Experience with data annotation, data quality assurance, or evaluation systems - Proficiency in data analysis software such as R, SAS, or Stata - Background in health communication, clinical research coordination, or public health monitoring Why Join Us - Work on cutting-edge AI projects with the world's top research labs - Fully remote and flexible — work on your own schedule - Freelance perks: autonomy, variety, and global collaboration - Meaningful impact — your expertise directly improves how AI handles life-critical health information - Potential for ongoing work and contract extension

Application listings

Choose a source listing and check its country requirements.