Population Health Informaticist

Population Health Informaticist (AI Training) About The Role At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to bring their domain expertise to AI — helping ensure that health data is interpreted accurately, meaningfully, and responsibly. Population Health Informaticist (AI Training) About The Role At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to bring their domain expertise to AI — helping ensure that health data is interpreted accurately, meaningfully, and responsibly. Your public health and data expertise will directly shape how AI understands population-level trends, health disparities, and evidence-based interventions. This is a rare opportunity to apply your skills at the intersection of health informatics and frontier AI. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You’ll Do Evaluate and annotate AI-generated content related to population health, epidemiology, and public health analytics Assess the accuracy, completeness, and clinical relevance of AI outputs involving health metrics, trends, and disparities Review and provide structured feedback on data pipelines, dashboards, and reporting frameworks as represented in AI-generated scenarios Translate your domain knowledge into clear, actionable feedback that improves how AI reasons about population health challenges Work independently and asynchronously on task-based assignments at your own pace Who You Are Hands-on experience working with healthcare, public health, or population-level datasets Strong analytical skills with experience in data visualization, dashboards, and health reporting tools Ability to evaluate complex health data outputs and identify errors, gaps, or misleading interpretations Comfortable communicating technical findings clearly in written form Detail-oriented, self-directed, and reliable Nice to Have Experience with data annotation, data quality assessment, or evaluation workflows Background in epidemiology, biostatistics, health policy, or public health informatics Familiarity with tools such as Tableau, Power BI, SAS, R, or Python for health analytics Prior work with AI, machine learning datasets, or model evaluation Why Join Us Work on cutting-edge AI projects with top research labs and teams Fully remote and flexible — work on your own schedule, anywhere Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work at the intersection of AI and public health Potential for ongoing work and contract extension #J-18808-Ljbffr Alignerr Corp.