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 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