Health Policy & Management - AI Content Specialist

Health Policy & Management - AI Content Specialist (AI Training)

About The Role

Your public health expertise is needed where it matters most — ensuring AI systems provide accurate, evidence-based health information to the world. As a Health Policy & Management AI Content Specialist at Alignerr, you'll work directly with cutting-edge Large Language Models, stress-testing their understanding of epidemiology, biostatistics, health policy, and global health equity.

This is a rare opportunity to apply your graduate-level training to a high-impact, fully remote contract role — 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 — Create advanced challenges involving disease outbreak simulations, health equity assessments, and interpretation of epidemiological and clinical trial data
• Author Ground-Truth Solutions — Write rigorous, step-by-step responses grounded in peer-reviewed research, epidemiological data, and current guidelines (CDC, WHO, and beyond)
• Audit AI Health Reasoning — Evaluate AI-generated health advice and policy recommendations for accuracy, bias, logical gaps, and adherence to ethical standards
• Refine Model Thinking — Provide structured feedback that helps AI distinguish correlation from causation, communicate health risks clearly, and serve diverse populations equitably
  
  

Who You Are

• Holds a Master of Public Health (MPH), Master of Science in Public Health (MSPH), or 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, culturally sensitive, and actionable written content
• High attention to detail — especially when reviewing statistical significance, data citations, and intervention logic
• No prior AI experience required — your domain expertise is what counts
  
  

Nice to Have

• Experience with data annotation, quality evaluation, or research coordination
• Proficiency in data analysis tools such as R, SAS, or Stata
• Background in health communication, clinical research, or public health surveillance
  
  

Why Join Us

• Work on meaningful projects that directly shape how AI handles public health information
• Fully remote and flexible — set your own hours within a 10–40 hour/week range
• Collaborate with world-leading AI research teams and labs
• Freelance advantages: autonomy, variety, and the ability to work from anywhere
• Potential for ongoing contract renewals as new projects launch