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