Health Policy & Management

Health Policy & Management — AI Trainer

About The Role

What if your public health expertise could influence how millions of people access health information through AI? We're partnering with the world's leading AI research labs to ensure their models deliver accurate, evidence-based, and ethically sound health guidance — and we need credentialed public health professionals to make that happen.

This is a fully remote, flexible contract role where your MPH-level knowledge directly shapes the quality and integrity of cutting-edge AI systems.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Complex Public Health Scenarios — Create challenging, real-world problems involving disease outbreak simulations, health equity assessments, and interpretation of clinical trial data to rigorously test AI reasoning
• Author Ground-Truth Solutions — Develop rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and others)
• Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards — catching misinformation before it spreads
• Refine AI Reasoning — Provide structured, expert feedback that helps AI distinguish correlation from causation, communicate risk appropriately, and serve diverse populations equitably

Who You Are

• Holder of a Masters in Public Health (MPH), MSPH, or closely related graduate degree
• Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy
• Skilled at translating complex health data into clear, actionable, and culturally sensitive written communication
• Detail-oriented when reviewing statistical significance, data citations, and the logic of health interventions
• Self-motivated and comfortable working independently on an asynchronous schedule
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality review, or evaluation workflows
• Proficiency in data analysis tools such as R, SAS, or Stata
• Background in health communication, clinical research coordination, or public health surveillance

Why Join Us

• Work on high-impact AI projects alongside leading research labs and teams
• Fully remote and flexible — set your own schedule within a 10–40 hour/week range
• Freelance autonomy with real intellectual challenge and meaningful public health impact
• Direct engagement with industry-leading large language models
• Potential for ongoing contract renewals and expanded project involvement
• Contribute to a future where AI gets public health right