Population Health Informaticist
Hace 2 semanas
, España
Alignerr
Trabajo remoto
Jornada completa
Gratis con email o Google
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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 Population Health Informaticists to bring their domain expertise to AI projects focused on public health, health equity, and population-level outcomes. Your work will directly shape how AI understands, analyzes, and communicates population health data — helping build smarter tools that could improve health outcomes at scale. Organization: Alignerr Type: Hourly Contract
Location:
Remote Commitment: 10–40 hours/week
What You'll Do
Evaluate and improve AI-generated content related to population health data, analytics, and public health strategy Review outputs for accuracy, clinical relevance, and data integrity across population-level datasets Identify gaps, errors, or misleading interpretations in health metrics, surveillance data, and epidemiological analysis Apply your expertise in health informatics to assess dashboards, data pipelines, and reporting frameworks generated or described by AI Translate complex analytical concepts into clear, structured feedback that helps AI models improve Work independently and asynchronously on your own schedule Who You Are Experienced with healthcare, public health, or population-level datasets Skilled in data analysis and visualization, including dashboards and reporting tools Able to critically evaluate health data narratives and flag inaccuracies or oversimplifications Comfortable translating complex data insights into clear, actionable language Detail-oriented, self-directed, and reliable Nice to Have Experience with epidemiological surveillance or community health assessment Background in health equity, social determinants of health, or chronic disease management Prior experience with data annotation, data quality evaluation, or AI training workflows Familiarity with tools like Tableau, Power BI, QGIS, or public health platforms (e.g., PHDI, CDC WONDER) Why Join Us Work on cutting-edge AI projects with top research labs and AI teams Fully remote and flexible — work on your schedule, on your terms Freelance perks: autonomy, variety, and collaboration with experts across the globe Contribute to meaningful work at the intersection of AI and public health Potential for ongoing work and contract extension
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 Population Health Informaticists to bring their domain expertise to AI projects focused on public health, health equity, and population-level outcomes. Your work will directly shape how AI understands, analyzes, and communicates population health data — helping build smarter tools that could improve health outcomes at scale. Organization: Alignerr Type: Hourly Contract
Location:
Remote Commitment: 10–40 hours/week
What You'll Do
Evaluate and improve AI-generated content related to population health data, analytics, and public health strategy Review outputs for accuracy, clinical relevance, and data integrity across population-level datasets Identify gaps, errors, or misleading interpretations in health metrics, surveillance data, and epidemiological analysis Apply your expertise in health informatics to assess dashboards, data pipelines, and reporting frameworks generated or described by AI Translate complex analytical concepts into clear, structured feedback that helps AI models improve Work independently and asynchronously on your own schedule Who You Are Experienced with healthcare, public health, or population-level datasets Skilled in data analysis and visualization, including dashboards and reporting tools Able to critically evaluate health data narratives and flag inaccuracies or oversimplifications Comfortable translating complex data insights into clear, actionable language Detail-oriented, self-directed, and reliable Nice to Have Experience with epidemiological surveillance or community health assessment Background in health equity, social determinants of health, or chronic disease management Prior experience with data annotation, data quality evaluation, or AI training workflows Familiarity with tools like Tableau, Power BI, QGIS, or public health platforms (e.g., PHDI, CDC WONDER) Why Join Us Work on cutting-edge AI projects with top research labs and AI teams Fully remote and flexible — work on your schedule, on your terms Freelance perks: autonomy, variety, and collaboration with experts across the globe Contribute to meaningful work at the intersection of AI and public health Potential for ongoing work and contract extension