Population Health Informaticist
Alignerr · Denver, CO
CONTRACT
Posted Sep 7, 2026
Job Description
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 deep domain expertise to AI projects focused on health data, analytics, and population-level outcomes.
Your knowledge of healthcare datasets, public health surveillance, and data-driven intervention strategies will directly shape how AI understands and reasons about population health — work that matters far beyond the screen.
- 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, epidemiology, and health informatics
- Analyze and interpret population health metrics, identifying trends, disparities, and opportunities for intervention
- Review and validate data pipelines, dashboard logic, and reporting frameworks used in health surveillance and decision-making
- Translate complex analytical findings into clear, actionable insights that reflect real-world public health practice
- Provide structured expert feedback on AI outputs to improve accuracy, clinical relevance, and practical utility
- Work independently and asynchronously on your own schedule
Who You Are
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical thinker with hands-on experience in data visualization and reporting tools
- Able to critically evaluate health data and identify when AI outputs are misleading, incomplete, or clinically unsound
- Skilled at communicating complex data insights clearly for diverse stakeholders
- Detail-oriented, reliable, and comfortable working with structured feedback systems
Nice to Have
- Background in epidemiology, biostatistics, health informatics, or public health policy
- Experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with EHR systems, claims data, or population health platforms
- Prior work in health equity, social determinants of health, or community health programs
Why Join Us
- Work on cutting-edge AI projects with top research labs and AI teams
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful contribution to AI systems that touch real public health challenges
- 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 deep domain expertise to AI projects focused on health data, analytics, and population-level outcomes.
Your knowledge of healthcare datasets, public health surveillance, and data-driven intervention strategies will directly shape how AI understands and reasons about population health — work that matters far beyond the screen.
- 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, epidemiology, and health informatics
- Analyze and interpret population health metrics, identifying trends, disparities, and opportunities for intervention
- Review and validate data pipelines, dashboard logic, and reporting frameworks used in health surveillance and decision-making
- Translate complex analytical findings into clear, actionable insights that reflect real-world public health practice
- Provide structured expert feedback on AI outputs to improve accuracy, clinical relevance, and practical utility
- Work independently and asynchronously on your own schedule
Who You Are
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical thinker with hands-on experience in data visualization and reporting tools
- Able to critically evaluate health data and identify when AI outputs are misleading, incomplete, or clinically unsound
- Skilled at communicating complex data insights clearly for diverse stakeholders
- Detail-oriented, reliable, and comfortable working with structured feedback systems
Nice to Have
- Background in epidemiology, biostatistics, health informatics, or public health policy
- Experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with EHR systems, claims data, or population health platforms
- Prior work in health equity, social determinants of health, or community health programs
Why Join Us
- Work on cutting-edge AI projects with top research labs and AI teams
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Make a meaningful contribution to AI systems that touch real public health challenges
- Potential for ongoing work and contract extension
Additional Details
- City
- Denver
- State
- Colorado
- Country
- US
Apply and matching require a free OVN account. Browse listings anytime without signing in.