Population Health Informaticist

Population Health Informaticist (AI Training)

About The Role

We're partnering with the world's leading AI research teams to build smarter, more accurate health intelligence systems — and we need population health experts to make it happen.

As a Population Health Informaticist, you'll apply your expertise in health data, analytics, and public health strategy to evaluate and improve AI models that work with population-level information. Your domain knowledge will directly shape how AI understands health trends, disparities, and outcomes across communities.

This is a fully remote, flexible contract role — work on your schedule, on projects that matter.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
  
  

What You'll Do

• Evaluate AI-generated population health content, analysis, and insights for accuracy, completeness, and real-world applicability
• Review and assess data pipelines, dashboards, and reporting frameworks modeled by AI for quality and soundness
• Identify gaps, errors, or misleading interpretations in AI outputs related to population health metrics and surveillance
• Provide structured expert feedback that helps AI systems better understand health disparities, community-level trends, and intervention strategies
• Translate your domain knowledge into clear, actionable evaluations that improve AI model performance in public health contexts
  
  

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical thinker with the ability to evaluate data quality, methodology, and interpretation
• Skilled in data visualization and reporting — familiar with dashboards and analytics tools
• Able to communicate complex findings clearly and concisely
• Self-motivated and comfortable working independently on asynchronous tasks
• No prior AI or machine learning experience required
  
  

Nice to Have

• Experience with epidemiology, health equity research, or community health programs
• Background in data annotation, quality assurance, or evaluation systems
• Familiarity with public health surveillance frameworks or clinical data standards (e.g., ICD codes, HL7, FHIR)
  
  

Why Join Us

• Work on meaningful AI projects with real public health implications
• Fully remote and async — work when and where it suits you
• Collaborate with a global network of experts and researchers
• Leverage your existing expertise in a high-impact, cutting-edge field
• Potential for ongoing work and contract extension