Population Health Informaticist

Population Health Informaticist (AI Training) 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 #J-18808-Ljbffr