About the Role
Your public health expertise is more valuable than ever — and not just in traditional settings. At Alignerr, we partner with the world's leading AI research labs to train cutting-edge AI models, and we need credentialed public health professionals to help us get it right.
As a Health Policy & Management AI Content Specialist, you'll use your MPH-level knowledge to challenge, evaluate, and improve how AI systems understand population health, epidemiology, biostatistics, and health policy. This is a high-impact, fully remote contract role where your domain expertise directly shapes AI that millions of people may one day rely on for health information.
No prior AI experience required.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week (flexible)
What You'll Do
- Design Complex Public Health Scenarios — Create advanced, real-world challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to rigorously test AI understanding.
- Author Ground-Truth Solutions — Write rigorous, step-by-step expert responses that synthesize peer-reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and more).
- Audit AI-Generated Health Content — Evaluate AI outputs for factual accuracy, logical coherence, bias, and adherence to ethical public health standards. Identify misinformation and reasoning gaps with precision.
- Refine AI Reasoning — Provide structured, expert feedback that helps AI models distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably.
Who You Are
Required:
- Graduate degree in Public Health — MPH, MSPH, or a closely related field
- Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy
- Ability to translate complex health data into clear, accurate, and culturally sensitive written content
- High attention to detail when assessing statistical significance, data citations, and intervention logic
- No prior AI or data annotation experience needed — we'll get you up to speed
Nice to Have:
- Experience with data annotation, quality evaluation, or research review 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
- Meaningful impact — Your expertise helps ensure AI delivers accurate, evidence-based health information at scale
- Fully remote — Work from anywhere, entirely on your own schedule
- Flexible hours — Choose your own weekly commitment between 10 and 40 hours
- Work with cutting-edge AI — Direct engagement with industry-leading large language models
- Freelance autonomy — High agency, variety, and global collaboration
- Ongoing opportunity — Strong performers are considered for contract renewals and new projects