Population Health Informaticist
About this role
About the Role We're partnering with leading AI research labs to build smarter, more accurate health intelligence systems — and we need experienced population health informaticists to help get it right. Your deep knowledge of health data, epidemiological trends, and population-level analytics will directly inform how AI understands and reasons about public health. This is a unique opportunity to apply your expertise at the intersection of healthcare and cutting-edge AI development. - 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 data analysis - Assess the accuracy, relevance, and quality of health data interpretations produced by AI systems - Identify gaps, errors, and disparities in AI-generated insights across community health topics - Provide expert feedback on dashboards, data pipelines, and reporting frameworks within AI-generated outputs - Translate your domain expertise into structured, actionable feedback that improves AI performance in health contexts - Review and validate AI reasoning around health trends, surveillance data, and intervention strategies Who You Are - Experienced working with healthcare, public health, or population-level datasets - Strong analytical thinker with a solid grasp of health metrics and epidemiological methods - Skilled at identifying trends, disparities, and data quality issues in complex health datasets - Comfortable evaluating data visualizations, dashboards, and health reporting frameworks - Able to communicate complex findings clearly and concisely in written form - Self-directed and reliable — you manage your own time and deliver quality work independently Nice to Have - Experience with data annotation, quality assurance, or evaluation workflows - Background in public health policy, health informatics, or community health programs - Familiarity with surveillance systems, EHR data, or claims-based datasets - Prior work with AI or machine learning projects in a health context Why Join Us - Work on meaningful AI projects that have real implications for public health - Fully remote and flexible — contribute on a schedule that works for you - Collaborate with world-class AI research teams and domain experts - Freelance autonomy with the backing of an established, mission-driven organization - Opportunity for ongoing work and contract extension based on performance
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