Health Policy & Management - AI Content Specialist

Job summary

Design complex public health scenarios and author expert-level solutions to train AI models. Audit AI-generated health outputs for accuracy, bias, and adherence to ethical standards while identifying misinformation.

Job details

Health Policy & Management — AI Content Specialist About The Role Your public health expertise is more valuable than ever — and not just in the clinic or the policy office. We're looking for Masters-level public health professionals to help train and evaluate cutting-edge AI models on some of the most consequential health topics imaginable: disease outbreaks, health equity, biostatistics, and global health policy. At Alignerr, we partner with the world's leading AI research labs to build AI that's accurate, safe, and grounded in scientific consensus. When AI gets health wrong, the consequences are real. Your job is to make sure it gets it right. This is a fully remote, flexible contract role that fits around your schedule — whether you're between roles, doing research, or looking to diversify your work. 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 epidemiological or clinical trial data Author Expert-Level Solutions — Write rigorous, step-by-step responses that draw on peer-reviewed research, population health data, and authoritative guidelines (CDC, WHO, and beyond) Audit AI Health Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical consistency, and adherence to ethical standards Identify Misinformation — Spot gaps in the AI's reasoning, flag misleading health claims, and help the model distinguish correlation from causation Refine AI Communication — Provide structured feedback to improve how the model communicates health risks to diverse, non-expert populations 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, culturally sensitive, and actionable written communication Detail-oriented — comfortable verifying statistical significance, evaluating citations, and assessing the logic of health interventions Self-motivated and comfortable working independently in an async environment No prior AI experience required 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 directly with industry-leading large language models on high-stakes health content Fully remote and async — work on your own schedule, from anywhere Freelance flexibility: high autonomy, no micromanagement, global collaboration Meaningful work that shapes how millions of people receive health information through AI Strong potential for ongoing contract renewals and expanded project involvement

What you’ll do

Design complex public health scenarios and author expert-level solutions to train AI models. Audit AI-generated health outputs for accuracy, bias, and adherence to ethical standards while identifying misinformation.

Requirements

Requires a Master's degree in Public Health (MPH, MSPH) or a related graduate degree. Candidates must have strong foundational knowledge in epidemiology, biostatistics, environmental health, or health policy.

Listed skills

• Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Epidemiology
• Biostatistics
• Health Policy
• Environmental Health
• Data Annotation
• Content Review
• Health Communication
• Clinical Research Coordination
• Public Health Surveillance
• R
• SAS
• Stata
• Technical Writing
• Data Analysis
• Quality Evaluation

Job areas

• Healthcare
• Technology
• Science & Research
• Data & Analytics
• Government & Public Sector