Population Health Informaticist

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<strong>Population Health Informaticist (AI Training)<br><br></strong><strong>About The Role<br><br></strong>We're partnering with leading AI research teams to build smarter, more accurate AI models in the healthcare and public health space — and we need your expertise to make it happen.<br><br>As a Population Health Informaticist, you'll apply your knowledge of large-scale health data, analytics, and public health informatics to help evaluate, improve, and train AI systems. Your insights will directly shape how AI understands and reasons about population-level health challenges.<br><br><ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10–40 hours/week<br><br></li></ul><strong>What You'll Do<br><br></strong><ul><li>Evaluate AI-generated analyses of population health data for accuracy, completeness, and clinical relevance</li><li>Review and provide structured feedback on AI outputs related to health trends, disparities, and epidemiological insights</li><li>Assess the quality of AI-designed dashboards, data pipelines, and reporting frameworks against real-world public health standards</li><li>Identify gaps, errors, or missed opportunities in AI-generated population health strategies and recommendations</li><li>Translate your domain expertise into clear, actionable feedback that helps AI systems reason more effectively about complex health data<br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>Experienced working with healthcare, public health, or population-level datasets</li><li>Skilled in data analysis and visualization, including dashboards and reporting tools</li><li>Able to critically evaluate complex health information and communicate findings clearly</li><li>Comfortable working independently and asynchronously on task-based assignments</li><li>Detail-oriented, systematic, and passionate about health outcomes at scale<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>Experience with epidemiological surveillance, health equity analysis, or community health assessment</li><li>Background in data annotation, data quality evaluation, or AI training workflows</li><li>Familiarity with tools like Tableau, Power BI, Python, R, or SQL in a public health context</li><li>Advanced degree in public health, health informatics, epidemiology, or a related field<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Work on cutting-edge AI projects with top research labs shaping the future of healthcare AI</li><li>Fully remote and flexible — work on your own schedule, from anywhere</li><li>Freelance perks: autonomy, variety, and collaboration with experts across the globe</li><li>Make a meaningful contribution to AI systems that could improve health outcomes for millions</li><li>Potential for ongoing work and contract extension</li></ul>

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