Population Health Informaticist

Population Health Informaticist (AI Training)
About The Role

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We’re looking for experienced Population Health Informaticists to apply their expertise to AI projects focused on improving how AI systems understand, analyze, and communicate population health data.

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We’re looking for experienced Population Health Informaticists to apply their expertise to AI projects focused on improving how AI systems understand, analyze, and communicate population health data.

Your domain knowledge will directly shape the quality and accuracy of AI tools designed to support public health decision-making s is a rare opportunity to sit at the intersection of health informatics and artificial intelligence — without leaving your home.

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

• Evaluate and improve AI-generated analyses of population health data, including trends, disparities, and intervention opportunities
• Review AI outputs for accuracy, clinical relevance, and methodological soundness
• Provide structured feedback on dashboards, data pipelines, and reporting frameworks generated by AI systems
• Translate complex analytical concepts into clear, actionable insights that help AI communicate effectively to health stakeholders
• Flag errors, gaps, or misleading interpretations in AI-generated population health content
• Work independently and asynchronously on your own schedule

• Hands‑on experience working with healthcare, public health, or population‑level datasets
• Strong analytical skills and familiarity with data visualization and reporting tools
• Ability to assess the quality of data‑driven insights and health metrics
• Comfortable evaluating written and visual content for accuracy and clarity at scale
• Detail‑oriented with a systematic approach to quality assessment
• Clear written communication skills

• Prior experience with data annotation, data quality review, or evaluation workflows
• Background in epidemiology, biostatistics, health informatics, or public health
• Familiarity with surveillance systems, EHR data, or claims‑based datasets
• Experience working with AI or machine learning tools in a health context

• Work on cutting‑edge AI projects with top research labs and AI organizations
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work at the frontier of AI and public health
• Potential for ongoing work and contract extension