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 experienced population health professionals to make it happen. As a Population Health Informaticist, you'll apply your expertise to evaluate, improve, and shape how AI understands and reasons about large-scale health data. Your domain knowledge will directly influence AI systems that support public health decision-making, clinical research, and community health strategy. This is a rare opportunity to work at the intersection of healthcare analytics and cutting-edge AI — entirely on your own schedule. • Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 10–40 hours/week What You'll Do • Evaluate AI-generated content and outputs related to population health, epidemiology, and health disparities for accuracy and clinical relevance • Review and assess AI-produced analyses involving health metrics, surveillance data, and community health trends • Identify errors, gaps, or misleading interpretations in AI reasoning about public health topics • Provide structured, expert feedback to help AI systems produce more reliable and actionable health insights • Apply your knowledge of health data pipelines, dashboards, and reporting frameworks to assess AI-generated solutions • Translate complex health informatics concepts into clear, grounded evaluations Who You Are • Experienced working with healthcare, public health, or population-level datasets • Skilled in health data analysis, visualization, and reporting — including dashboards and surveillance tools • Able to critically assess whether data-driven health insights are accurate, complete, and appropriately interpreted • Comfortable working independently and asynchronously on task-based assignments • Strong written communicator who can articulate nuanced feedback clearly Nice to Have • Background in epidemiology, biostatistics, or public health informatics • Experience with data annotation, data quality assessment, or evaluation frameworks • Familiarity with AI tools or language model evaluation workflows • Knowledge of health equity, social determinants of health, or community health interventions Why Join Us • Work on meaningful AI projects with real-world public health implications • Fully remote and flexible — set your own hours and workload • Collaborate with a global network of domain experts and AI researchers • Freelance autonomy with the backing of top-tier AI research teams • Ongoing contract potential as projects expand