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