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Health Policy & Management - AI Content Specialist

Remote · Hong Kong Full-time

About The Role Your public health expertise is more valuable than ever — and not just in traditional settings. Alignerr partners with the world's leading AI research labs to build smarter, safer AI models, and we need MPH-level specialists to help get health right. As a Health Policy & Management AI Content Specialist, you'll work directly with cutting-edge large language models, stress-testing their understanding of epidemiology, health policy, biostatistics, and global health equity. Your contributions will shape how AI communicates life-critical health information to millions of people. This is a fully remote, flexible contract role — work on your schedule, on projects that matter. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week

What You'll Do

Design Complex Public Health Scenarios — Create advanced challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trials to push AI reasoning to its limits Author Ground-Truth Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and others) Audit AI-Generated Health Content — Evaluate AI outputs for accuracy, bias, ethical alignment, and logical consistency — catching misinformation before it spreads Sharpen AI Reasoning — Provide structured, expert feedback that helps models distinguish correlation from causation, and communicate health risks clearly across diverse populations Who You Are Holds a Master of Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree Strong foundational knowledge in at least two core areas: Epidemiology, Biostatistics, Environmental Health, or Health Policy Skilled at translating complex health data into clear, actionable, and culturally sensitive written content Detail-oriented — precise when evaluating statistical significance, data citations, and the logic of health interventions No prior AI experience required — we'll get you up to speed

Nice to Have

Experience with data annotation, quality evaluation, or content 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

Work on high-impact projects with industry-leading AI research teams Fully remote and asynchronous — work when and where it suits you Freelance advantages: autonomy, flexibility, and global collaboration Meaningful work that directly influences how AI handles public health information Potential for ongoing contract renewals and expanded project involvement

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