Population Health Informaticist
Alignerr · Seattle, WA
CONTRACT
Posted Sep 6, 2026
Job Description
Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research teams to build smarter, more accurate AI systems — and we need population health experts to help get it right. As a Population Health Informaticist, you'll apply your expertise in health data, analytics, and public health to evaluate and improve how AI understands and reasons about population-level health challenges.
Your work will directly shape AI that supports better health decisions, identifies disparities, and drives meaningful outcomes at scale.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI-generated content related to population health data, analytics, and public health strategies for accuracy and quality
- Apply your expertise to identify gaps, errors, or oversimplifications in how AI interprets health trends and disparities
- Provide structured, expert feedback on analytical reasoning, data interpretation, and health informatics concepts
- Review and assess AI outputs involving dashboards, data pipelines, and population health reporting frameworks
- Help translate complex health data scenarios into clear, well-reasoned AI training examples
- 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 a solid understanding of health informatics principles
- Skilled at data visualization, reporting, and communicating insights to diverse stakeholders
- Able to evaluate and critique health-related analytical content with precision
- Detail-oriented, self-motivated, and comfortable working independently
Nice to Have
- Background in epidemiology, biostatistics, or public health surveillance
- Experience with data annotation, quality assurance, or evaluation systems
- Familiarity with health data standards (e.g., HL7, FHIR, ICD coding)
- Prior work with AI, machine learning datasets, or health technology platforms
Why Join Us
- Work on cutting-edge AI projects with top research labs and health-focused teams
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI better serve public health goals
- Potential for ongoing work and contract extension
About The Role
We're partnering with leading AI research teams to build smarter, more accurate AI systems — and we need population health experts to help get it right. As a Population Health Informaticist, you'll apply your expertise in health data, analytics, and public health to evaluate and improve how AI understands and reasons about population-level health challenges.
Your work will directly shape AI that supports better health decisions, identifies disparities, and drives meaningful outcomes at scale.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI-generated content related to population health data, analytics, and public health strategies for accuracy and quality
- Apply your expertise to identify gaps, errors, or oversimplifications in how AI interprets health trends and disparities
- Provide structured, expert feedback on analytical reasoning, data interpretation, and health informatics concepts
- Review and assess AI outputs involving dashboards, data pipelines, and population health reporting frameworks
- Help translate complex health data scenarios into clear, well-reasoned AI training examples
- 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 a solid understanding of health informatics principles
- Skilled at data visualization, reporting, and communicating insights to diverse stakeholders
- Able to evaluate and critique health-related analytical content with precision
- Detail-oriented, self-motivated, and comfortable working independently
Nice to Have
- Background in epidemiology, biostatistics, or public health surveillance
- Experience with data annotation, quality assurance, or evaluation systems
- Familiarity with health data standards (e.g., HL7, FHIR, ICD coding)
- Prior work with AI, machine learning datasets, or health technology platforms
Why Join Us
- Work on cutting-edge AI projects with top research labs and health-focused teams
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI better serve public health goals
- Potential for ongoing work and contract extension
Additional Details
- City
- Seattle
- State
- Washington
- Country
- US
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