Population Health Informaticist

Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research labs to build smarter, more accurate health intelligence systems — and we need experienced population health informaticists to help get it right.
Your deep knowledge of health data, epidemiological trends, and population-level analytics will directly inform how AI understands and reasons about public health. This is a unique opportunity to apply your expertise at the intersection of healthcare and cutting-edge AI development.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Evaluate and annotate AI-generated content related to population health, epidemiology, and public health data analysis
Assess the accuracy, relevance, and quality of health data interpretations produced by AI systems
Identify gaps, errors, and disparities in AI-generated insights across community health topics
Provide expert feedback on dashboards, data pipelines, and reporting frameworks within AI-generated outputs
Translate your domain expertise into structured, actionable feedback that improves AI performance in health contexts
Review and validate AI reasoning around health trends, surveillance data, and intervention strategies
Who You Are
Experienced working with healthcare, public health, or population-level datasets
Strong analytical thinker with a solid grasp of health metrics and epidemiological methods
Skilled at identifying trends, disparities, and data quality issues in complex health datasets
Comfortable evaluating data visualizations, dashboards, and health reporting frameworks
Able to communicate complex findings clearly and concisely in written form
Self-directed and reliable — you manage your own time and deliver quality work independently
Nice to Have
Experience with data annotation, quality assurance, or evaluation workflows
Background in public health policy, health informatics, or community health programs
Familiarity with surveillance systems, EHR data, or claims-based datasets
Prior work with AI or machine learning projects in a health context
Why Join Us
Work on meaningful AI projects that have real implications for public health
Fully remote and flexible — contribute on a schedule that works for you
Collaborate with world-class AI research teams and domain experts
Freelance autonomy with the backing of an established, mission-driven organization
Opportunity for ongoing work and contract extension based on performance

Work arrangement
Yes