Health Policy & Management - AI Content Specialist

Job summary

Develop complex public health scenarios and write evidence-based, step-by-step solutions grounded in research, epidemiological data, and current guidelines. Evaluate AI-generated health advice and policy recommendations for accuracy, bias, reasoning, and ethical communication, then provide structured feedback to improve model performance.

Job details

Health Policy & Management – AI Content Specialist About The Role Your public health expertise is more valuable than ever — and not just in a clinic or government agency. We're looking for Masters in Public Health (MPH) professionals to help train and refine cutting-edge AI models on health policy, epidemiology, and evidence-based medicine. At Alignerr, we partner with the world's leading AI research labs to ensure their models reason accurately, ethically, and responsibly about human health. Your domain knowledge will directly shape how AI communicates health information to millions of people. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design Complex Health Scenarios — Build advanced public health challenges involving disease outbreak simulations, health equity assessments, and statistical interpretation of clinical trial data Author Ground-Truth Solutions — Write rigorous, step-by-step responses that synthesize peer-reviewed research, epidemiological data, and current guidelines (CDC, WHO, and beyond) Audit AI Outputs — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical gaps, and adherence to ethical standards Refine AI Reasoning — Provide structured feedback that helps models distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably 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, actionable, and culturally sensitive written communication Detail-oriented when it comes to statistical significance, data citations, and the logic of health interventions No prior AI experience required — your public health expertise is what matters Nice to Have Experience with data annotation, data quality, 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 Direct impact — your expertise shapes how AI handles real-world health questions at scale Fully remote — work from anywhere, entirely on your schedule Flexible commitment — choose the hours that work for you, week to week Meaningful work — help ensure AI prioritizes scientific consensus, health equity, and ethical guidelines Cutting-edge exposure — collaborate directly with industry-leading large language models Ongoing opportunity — strong performers are prioritized for contract renewals and new projects

What you’ll do

Develop complex public health scenarios and write evidence-based, step-by-step solutions grounded in research, epidemiological data, and current guidelines. Evaluate AI-generated health advice and policy recommendations for accuracy, bias, reasoning, and ethical communication, then provide structured feedback to improve model performance.

Requirements

Applicants must hold an MPH, MSPH, or closely related graduate degree and have foundational knowledge in at least two of epidemiology, biostatistics, environmental health, or health policy. They should be skilled at communicating complex health data clearly and sensitively, with strong attention to statistical significance, citations, and intervention logic; prior AI experience is not required.

Benefits

• Flexible Schedule
• Remote Work
• Meaningful Work
• Cutting-Edge Exposure
• Ongoing Contract Opportunities

Listed skills

• Évaluation · Preferred
• analysis · Preferred
• Organization · Preferred
• Health · Preferred
• Detail-oriented · Preferred
• Data analysis · Preferred
• management · Preferred
• Communication · Preferred
• Accuracy · Preferred
• Audit · Preferred
• Flexible · Preferred
• coordination · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Public Health
• Health Policy
• Epidemiology
• Biostatistics
• Environmental Health
• Evidence-Based Medicine
• Statistical Interpretation
• Health Equity Assessment
• Clinical Trial Data Analysis
• Health Communication
• Data Annotation
• Data Quality Evaluation
• R
• SAS
• Stata
• AI Output Evaluation

Job areas

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

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