Health Policy & Management

Job summary

Create complex public health scenarios and develop rigorous, evidence-based solutions using research, epidemiological data, and authoritative guidelines. Evaluate AI-generated health advice and policy recommendations for accuracy, reasoning, bias, and ethical standards, then provide structured feedback to improve model performance.

Job details

Health Policy & Management — AI Data Trainer About The Role Your public health expertise is in demand — and not just in clinics or policy offices. Alignerr partners with the world's leading AI research labs to build smarter, safer AI systems. We're looking for Masters in Public Health (MPH) professionals to help train cutting-edge AI models to reason accurately about population health, health equity, biostatistics, and evidence-based policy. This is a rare opportunity to apply your graduate-level knowledge to a high-impact domain where getting it right truly matters. You'll work fully remote, on a flexible schedule that fits your life. What You'll Do Design Complex Health Scenarios — Create advanced public health problems involving disease outbreak simulations, health equity assessments, epidemiological analysis, and interpretation of clinical trial data. Author Ground-Truth Responses — Develop rigorous, step-by-step solutions that draw on peer-reviewed research, epidemiological data, and authoritative guidelines (CDC, WHO, and similar standards). Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for factual accuracy, logical consistency, bias, and adherence to ethical standards — flagging misinformation or flawed reasoning. Sharpen AI Reasoning — Provide structured, expert feedback to help AI models correctly distinguish correlation from causation, communicate health risks clearly, and respond appropriately to diverse populations. Who You Are Holds a Masters in Public Health (MPH), Master of Science in Public Health (MSPH), or a closely related graduate degree 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 explanations High attention to detail — especially when evaluating statistical claims, data citations, and health intervention logic Self-directed and comfortable working independently and asynchronously No prior AI experience required Nice to Have Experience with data annotation, quality review, or evaluation 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 meaningful, high-stakes subject matter Fully remote and flexible — set your own hours, work when it suits you Freelance autonomy: high agency, variety of projects, and global reach Be part of a growing contractor network with potential for ongoing project opportunities Make a real difference — your expertise helps ensure AI gets public health right

What you’ll do

Create complex public health scenarios and develop rigorous, evidence-based solutions using research, epidemiological data, and authoritative guidelines. Evaluate AI-generated health advice and policy recommendations for accuracy, reasoning, bias, and ethical standards, then provide structured feedback to improve model performance.

Requirements

Requires an MPH, MSPH, or closely related graduate degree, with foundational knowledge in at least two of epidemiology, biostatistics, environmental health, or health policy. Candidates should communicate complex health data clearly and sensitively, work independently, and demonstrate strong attention to detail; experience with AI is not required.

Benefits

• Flexible Schedule
• Remote Work
• Freelance Autonomy
• Potential Ongoing Project Opportunities

Listed skills

• Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Epidemiology
• Biostatistics
• Health Policy
• Environmental Health
• Health Equity
• Public Health
• Data Analysis
• Statistical Analysis
• Clinical Trial Data Interpretation
• Evidence-Based Policy
• Health Communication
• AI Output Evaluation
• Data Annotation
• Quality Review
• Culturally Sensitive Communication
• Research Evaluation

Job areas

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

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