Population Health Informaticist (AI Training) About The Role We're looking for Population Health Informaticists to bring their expertise to cutting-edge AI projects. At Alignerr, we partner with the world's leading AI research teams to build smarter...
Population Health Informaticist (AI Training)
About The Role
We're looking for Population Health Informaticists to bring their expertise to cutting-edge AI projects. At Alignerr, we partner with the world's leading AI research teams to build smarter, more reliable AI — and your domain knowledge is exactly what we need.
In this role, you'll apply your experience with population-level health data to evaluate, annotate, and improve AI systems working in the public health and healthcare analytics space. Your insights will directly shape how AI understands and reasons about health trends, disparities, and interventions.
About The Role
We're looking for Population Health Informaticists to bring their expertise to cutting-edge AI projects. At Alignerr, we partner with the world's leading AI research teams to build smarter, more reliable AI — and your domain knowledge is exactly what we need.
In this role, you'll apply your experience with population-level health data to evaluate, annotate, and improve AI systems working in the public health and healthcare analytics space. Your insights will directly shape how AI understands and reasons about health trends, disparities, and interventions.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Evaluate AI-generated content related to population health data, analytics, and public health strategy for accuracy and quality
- Review and annotate datasets involving population health metrics, health disparities, and epidemiological trends
- Assess the quality of AI outputs involving dashboards, data pipelines, and reporting frameworks used in public health contexts
- Translate your domain expertise into structured feedback that helps AI systems reason more accurately about health at scale
- Work independently and asynchronously on your own schedule
- Hands-on experience working with healthcare, public health, or population-level datasets
- Strong analytical skills and familiarity with data visualization, reporting tools, or health dashboards
- Able to evaluate and communicate the quality of complex health data analysis clearly and precisely
- Comfortable working with AI-generated content and providing structured, objective feedback
- Detail-oriented and self-motivated in a remote, async environment
- Experience with epidemiology, health equity analysis, or community health needs assessments
- Background in data annotation, data quality evaluation, or AI training workflows
- Familiarity with tools like Tableau, Power BI, SQL, or public health surveillance systems
- Work on meaningful AI projects with real-world impact on public health
- Fully remote and flexible — work on your own schedule
- Collaborate with leading AI research teams and labs
- Freelance perks: autonomy, variety, and global collaboration
- Potential for ongoing work and contract extension
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