Population Health Informaticist
About this role
About the Role We're partnering with leading AI research labs to build smarter, more accurate health AI — and we need population health experts to make it happen. As a Population Health Informaticist, you'll apply your expertise in public health data to evaluate, improve, and inform AI systems designed to understand health trends, disparities, and outcomes at scale. This is a flexible, fully remote contract role where your domain knowledge directly shapes the future of AI in healthcare. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Evaluate AI-generated outputs related to population health data, epidemiology, and public health analytics for accuracy and quality - Review and assess data pipelines, dashboards, and reporting frameworks produced or described by AI systems - Identify errors, gaps, or misleading conclusions in AI-generated health insights - Provide structured expert feedback on how well AI interprets and communicates population-level health information - Help translate complex health data concepts into clear, actionable guidance that improves AI performance - 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 a solid understanding of health metrics, surveillance systems, and epidemiological methods - Proficient in data visualization and reporting tools — comfortable evaluating dashboards and data summaries - Able to identify when health data is being misrepresented, oversimplified, or incorrectly interpreted - Clear and structured written communicator - Self-motivated and reliable in an independent, remote work environment Nice to Have - Experience with data annotation, data quality assessment, or evaluation workflows - Background in public health informatics, epidemiology, or health data science - Familiarity with population health platforms or EHR/claims data environments - Prior work in AI, machine learning, or clinical decision support systems Why Join Us - Work on cutting-edge AI projects with top-tier research labs and institutions - Fully remote and flexible — set your own hours and work at your own pace - Freelance perks: autonomy, variety, and global collaboration - Apply your public health expertise to meaningful work that shapes how AI understands human health - Potential for ongoing work and contract extension
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