Population Health Informaticist
<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 health-focused AI systems — and we need your expertise to make it happen. As a Population Health Informaticist, you'll apply your knowledge of large-scale health data to evaluate, refine, and improve how AI understands population health trends, disparities, and outcomes.<br><br>This is a fully remote, flexible contract role that lets you contribute to meaningful work at the intersection of public health and cutting-edge AI.<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>Analyze and evaluate population-level health data to identify trends, disparities, and opportunities for intervention</li><li>Assess AI-generated health insights and outputs for accuracy, clinical relevance, and real-world applicability</li><li>Review and provide structured feedback on data pipelines, dashboards, and reporting frameworks used in population health contexts</li><li>Translate complex health data concepts into clear, actionable guidance that improves AI model quality</li><li>Help ensure AI systems reflect the nuances of public health surveillance, equity, and decision-making<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>Strong analytical thinker with solid data visualization and reporting skills</li><li>Able to communicate complex data insights clearly to diverse stakeholders</li><li>Detail-oriented and comfortable working independently in an asynchronous environment</li><li>Passionate about using data to drive better health outcomes<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>Experience with data annotation, data quality assessment, or evaluation frameworks</li><li>Background in epidemiology, biostatistics, health informatics, or a related field</li><li>Familiarity with AI or machine learning workflows in a health context<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Work on cutting-edge AI projects alongside top research labs and teams</li><li>Fully remote and flexible — work on your own schedule</li><li>Apply your public health expertise to problems that matter at a global scale</li><li>Freelance perks: autonomy, variety, and collaboration with experts worldwide</li><li>Potential for ongoing work and contract extension</li></ul>
