Health Policy & Management

Health Policy & Management — AI Data Trainer

About The Role

Your public health expertise is needed where it matters most: ensuring AI gets health information right. At Alignerr, we partner with the world's leading AI research labs to train cutting-edge models — and we're looking for Masters in Public Health (MPH) professionals to be the expert voice that keeps AI accurate, ethical, and evidence-based.

This is a fully remote, flexible contract role where your domain knowledge directly shapes how AI understands population health, health policy, and biostatistics. No AI experience required — just deep public health expertise and a commitment to scientific integrity.

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

What You'll Do

Design Complex Health Scenarios — Create advanced public health challenges covering disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials Author Ground-Truth Solutions — Develop rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological data, and current guidelines (CDC, WHO, and beyond) 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 health reasoning Refine AI Reasoning — Provide structured feedback that helps AI distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably

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 Skilled at translating complex health data into clear, actionable, and culturally sensitive written communication High attention to detail — especially around statistical significance, data citations, and the logic of health interventions Self-motivated and comfortable working independently and asynchronously No prior AI experience required

Nice to Have

Experience with data annotation, data quality, 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

High-impact work — your expertise directly improves how AI handles real-world public health questions Fully remote and flexible — work on your own schedule, wherever you are Engage with cutting-edge AI — collaborate on projects with industry-leading language models and top research labs Contractor autonomy — high agency, variety in your work, and global reach Ongoing opportunity — strong potential for contract renewal and continued collaboration