Population Health Informaticist

Evaluate AI-generated outputs

• Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy and quality
• Apply expertise to assess how well AI handles population-level metrics, health disparities, and epidemiological trends
• Identify gaps, errors, or misleading interpretations in AI-generated health insights
• Provide structured, expert feedback to help AI systems reason more accurately about community health data
• Review and annotate dashboards, data pipelines, and reporting frameworks generated or described by AI tools
• Translate domain knowledge into clear, actionable evaluations that directly improve AI performance

Who You Are

• Experienced working with healthcare, public health, or population-level datasets
• Strong analytical thinker with a solid grasp of epidemiology, health metrics, or biostatistics
• Comfortable evaluating data visualizations, dashboards, and reporting outputs
• Able to communicate complex findings clearly and concisely in writing
• Self-directed, reliable, and detail-oriented
• Comfortable working asynchronously in a remote environment

Nice to Have

• Experience with data annotation, quality review, or evaluation systems
• Background in public health informatics, health IT, or clinical data management
• Familiarity with tools such as Tableau, Power BI, QGIS, or similar platforms
• Prior work in health equity, chronic disease surveillance, or community health programs