Population Health Informaticist

Population Health Informaticist (AI Training)

About The Role

We're partnering with leading AI research labs to build smarter, more accurate health AI — and we need population health experts to help get it right. As a Population Health Informaticist, you'll apply your expertise in health data and analytics to evaluate, improve, and shape AI systems designed to understand and act on population-level health information.

Your insights will directly influence how AI interprets health trends, identifies disparities, and supports evidence-based decisions at scale. This is a rare opportunity to do meaningful work that sits at the intersection of public health and cutting-edge AI development.

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

What You'll Do

• Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy, quality, and relevance
• Collect, integrate, and assess population health metrics to identify trends, disparities, and intervention opportunities
• Review and validate AI-designed dashboards, data pipelines, and reporting frameworks used for health monitoring and surveillance
• Translate complex analytical insights into clear, actionable feedback that improves AI reasoning on population health topics
• Identify gaps, errors, or misleading conclusions in AI-generated health analyses and suggest evidence-based corrections

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Skilled in data analysis and visualization, including dashboards and reporting tools
• Able to translate complex data into clear, actionable insights for diverse stakeholders
• Detail-oriented with strong written communication skills
• Comfortable working independently and asynchronously on flexible task-based assignments

Nice to Have

• Background in epidemiology, biostatistics, health informatics, or public health policy
• Prior experience with data annotation, data quality assessment, or evaluation systems
• Familiarity with AI or machine learning workflows in a health context

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and data science teams
• Fully remote and flexible — set your own schedule and work when it suits you
• Freelance autonomy with the opportunity to contribute to impactful, mission-driven work
• Exposure to advanced data and analytics platforms shaping the future of health AI
• Potential for ongoing work and contract extension based on performance