Population Health Informaticist
About this role
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
Application listings
Choose a source listing and check its country requirements.