Health Policy & Management

Job summary

Design complex public health scenarios and write evidence-based responses using research and public health guidelines. Evaluate AI-generated health content for accuracy, misinformation, ethical issues, and reasoning quality, then provide structured feedback to improve model outputs.

Job details

Health Policy & Management — AI Data Trainer About The Role AI is rapidly becoming a primary source of health information for millions of people — and it needs to get things right. We're looking for public health professionals with advanced training to help shape how leading AI models reason about epidemiology, health policy, biostatistics, and global health equity. This is a rare opportunity to apply your MPH expertise at the frontier of AI development, working directly with cutting-edge large language models on high-impact, meaningful work — all on your own schedule. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design complex public health scenarios — including disease outbreak simulations, health equity assessments, and statistical interpretation of epidemiological data Author authoritative, evidence-based responses — synthesizing peer-reviewed research, CDC/WHO guidelines, and current public health best practices Audit AI-generated health content — evaluating accuracy, identifying misinformation, and flagging ethical issues or logical gaps in AI health reasoning Refine AI reasoning — provide structured feedback that helps models distinguish correlation from causation, communicate health risk clearly, and respond appropriately across diverse populations Uphold scientific consensus — ensure AI outputs reflect rigorous, ethical, and evidence-based public health standards Who You Are Holds an advanced degree in Public Health — MPH, MSPH, or a closely related graduate-level qualification Strong foundational knowledge in at least two of: Epidemiology, Biostatistics, Environmental Health, or Health Policy Able to translate complex health data into clear, accurate, and culturally sensitive written content Detail-oriented when evaluating statistical significance, data citations, and the logic of health interventions Self-directed and comfortable working independently on asynchronous tasks No prior AI experience required 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 Why Join Us Work at the forefront of AI development alongside leading research labs Fully remote and flexible — work when and how much suits you Freelance autonomy with meaningful, intellectually stimulating work Contribute to AI that impacts how millions of people access health information Potential for ongoing contract renewals and expanded project involvement

What you’ll do

Design complex public health scenarios and write evidence-based responses using research and public health guidelines. Evaluate AI-generated health content for accuracy, misinformation, ethical issues, and reasoning quality, then provide structured feedback to improve model outputs.

Requirements

Requires an MPH, MSPH, or closely related graduate-level qualification, with foundational knowledge in at least two of epidemiology, biostatistics, environmental health, or health policy. Candidates should be able to communicate complex health data clearly and sensitively, evaluate evidence and statistical reasoning carefully, and work independently on asynchronous tasks.

Benefits

• Flexible Schedule
• Remote Work
• Freelance Autonomy
• Potential Contract Renewals
• Expanded Project Involvement

Listed skills

• Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Epidemiology
• Biostatistics
• Health Policy
• Environmental Health
• Public Health
• Health Equity
• Statistical Interpretation
• Evidence-Based Research
• Health Communication
• Data Analysis
• AI Content Evaluation
• Data Annotation
• Scientific Writing
• Public Health Surveillance
• Risk Communication

Job areas

• Healthcare
• Science & Research
• Technology
• Data & Analytics

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