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-focused AI systems are accurate, insightful, and genuinely useful. This is a unique opportunity to apply your public health and data analytics background in a new context: shaping how AI understands and reasons about population-level health data. • Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 10–40 hours/week What You'll Do • Evaluate AI-generated analyses of population health data for accuracy, clinical relevance, and methodological soundness • Review and provide structured feedback on AI outputs related to health trends, disparities, surveillance, and intervention strategies • Apply your expertise to identify gaps, errors, or oversimplifications in how AI interprets epidemiological and public health concepts • Help develop and refine evaluation criteria for health informatics tasks • Work independently and asynchronously on your own schedule Who You Are • Experienced working with healthcare, public health, or population-level datasets • Strong analytical skills with the ability to assess data quality, methodology, and interpretation • Familiar with health metrics, surveillance systems, dashboards, or reporting frameworks • Able to communicate complex insights clearly in writing • Detail-oriented and self-motivated Nice to Have • Experience with data annotation, data quality assessment, or evaluation workflows • Background in epidemiology, biostatistics, or public health informatics • Familiarity with tools like Tableau, Power BI, SAS, R, or Python for health data analysis • Prior work with AI, machine learning, or clinical decision support systems Why Join Us • Work on cutting-edge AI projects with top research labs tackling real public health challenges • Fully remote and flexible — work on your own schedule • Freelance perks: autonomy, variety, and global collaboration • Contribute to meaningful work where your health expertise directly improves AI quality • Potential for ongoing work and contract extension