Population Health Informaticist
About this role
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
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