Job Description

Health Policy & Management — AI Content Specialist Overview 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 build smarter, safer, and more accurate AI models. We're looking for Masters-level public health professionals to help train and evaluate large language models (LLMs) on complex health policy, epidemiology, and population health topics. This is a rare opportunity to apply your graduate-level knowledge in a cutting-edge AI context, work entirely on your own schedule, and make a direct impact on how AI communicates health information to the world. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You\'ll Do Design Complex Public Health Scenarios — Create advanced prompts and case studies involving disease outbreak simulations, health equity assessments, social determinants of health, and statistical interpretation of clinical trial data. Author Ground-Truth Solutions — Write rigorous, step-by-step model responses that synthesize peer-reviewed research, epidemiological evidence, and current public health guidelines (CDC, WHO, and other authoritative sources). Audit AI-Generated Health Content — Evaluate AI outputs for accuracy, bias, logical consistency, and adherence to ethical health communication standards. Identify misinformation, unsupported claims, and gaps in reasoning. Sharpen AI Reasoning — Provide structured, expert feedback that helps models distinguish correlation from causation, communicate health risks clearly, and adapt messaging for diverse populations. Who You Are Hold a Master of Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree Have strong foundational knowledge in at least two areas: Epidemiology, Biostatistics, Environmental Health, or Health Policy Can translate complex health data into clear, accurate, and culturally sensitive written communication Are detail-oriented — comfortable checking statistical significance, evaluating data citations, and assessing the logic of health interventions No prior AI experience required — your domain expertise is what matters Nice to Have Experience with data annotation, quality evaluation, or research coordination Proficiency with data analysis tools such as R, SAS, or Stata Background in health communication, clinical research, or public health surveillance Familiarity with AI systems or content evaluation workflows Why Join Us Work directly with industry-leading LLMs on high-impact AI training projects Fully remote and async — work whenever and wherever suits you Freelance autonomy with flexibility to scale hours up or down Contribute to meaningful work that shapes how AI handles public health information Potential for ongoing contracts and long-term collaboration #J-18808-Ljbffr

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