Evaluating AI-generated population health insights, dashboards and surveillance reasoning for accuracy and equity. Suits epidemiologists and public health informaticists who work with population-level data.
Sobre la vacante
Population Health Informaticist (AI Training)
About the Role
We're partnering with leading AI research teams to build smarter, more accurate health-focused AI systems — and we need your expertise to make it happen. As a Population Health Informaticist, you'll apply your knowledge of large-scale health data to evaluate, refine, and improve how AI understands population health trends, disparities, and outcomes.
This is a fully remote, flexible contract role that lets you contribute to meaningful work at the intersection of public health and cutting-edge AI.
- Organization : Alignerr
- Type : Hourly Contract
- Location : Remote
- Commitment : 10–40 hours/week
- Commitment : 10–40 hours/week
- Analyze and evaluate population-level health data to identify trends, disparities, and opportunities for intervention
- Assess AI-generated health insights and outputs for accuracy, clinical relevance, and real-world applicability
- Review and provide structured feedback on data pipelines, dashboards, and reporting frameworks used in population health contexts
- Translate complex health data concepts into clear, actionable guidance that improves AI model quality
- Help ensure AI systems reflect the nuances of public health surveillance, equity, and decision-making
- Help ensure AI systems reflect the nuances of public health surveillance, equity, and decision-making
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical thinker with solid data visualization and reporting skills
- Able to communicate complex data insights clearly to diverse stakeholders
- Detail-oriented and comfortable working independently in an asynchronous environment
- Passionate about using data to drive better health outcomes
- Passionate about using data to drive better health outcomes
- Experience with data annotation, data quality assessment, or evaluation frameworks
- Background in epidemiology, biostatistics, health informatics, or a related field
- Familiarity with AI or machine learning workflows in a health context
- Familiarity with AI or machine learning workflows in a health context
- Work on cutting-edge AI projects alongside top research labs and teams
- Fully remote and flexible — work on your own schedule
- Apply your public health expertise to problems that matter at a global scale
- Freelance perks: autonomy, variety, and collaboration with experts worldwide
- Potential for ongoing work and contract extension
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