Population Health Informaticist

Population Health Informaticist (AI Training)We're partnering with leading AI research teams to build smarter, more accurate AI systems — and we need population health experts to help get it right. As a Population Health Informaticist, you'll apply your expertise in health data, analytics, and public health to evaluate and improve how AI understands and reasons about population-level health challenges.About The RoleWe're partnering with leading AI research teams to build smarter, more accurate AI systems — and we need population health experts to help get it right. As a Population Health Informaticist, you'll apply your expertise in health data, analytics, and public health to evaluate and improve how AI understands and reasons about population-level health challenges.Your work will directly shape AI that supports better health decisions, identifies disparities, and drives meaningful outcomes at scale.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoEvaluate AI-generated content related to population health data, analytics, and public health strategies for accuracy and qualityApply your expertise to identify gaps, errors, or oversimplifications in how AI interprets health trends and disparitiesProvide structured, expert feedback on analytical reasoning, data interpretation, and health informatics conceptsReview and assess AI outputs involving dashboards, data pipelines, and population health reporting frameworksHelp translate complex health data scenarios into clear, well-reasoned AI training examplesWork independently and asynchronously on your own scheduleWho You AreExperienced working with healthcare, public health, or population-level datasetsStrong analytical thinker with a solid understanding of health informatics principlesSkilled at data visualization, reporting, and communicating insights to diverse stakeholdersAble to evaluate and critique health-related analytical content with precisionDetail-oriented, self-motivated, and comfortable working independentlyNice to HaveBackground in epidemiology, biostatistics, or public health surveillanceExperience with data annotation, quality assurance, or evaluation systemsFamiliarity with health data standards (e.g., HL7, FHIR, ICD coding)Prior work with AI, machine learning datasets, or health technology platformsWhy Join UsWork on cutting-edge AI projects with top research labs and health-focused teamsFully remote and flexible — work on your own schedule, from anywhereFreelance perks: autonomy, variety, and global collaborationContribute to meaningful work that helps AI better serve public health goalsPotential for ongoing work and contract extensionJ-18808-Ljbffr