Population Health Informaticist
Indexed description
This is a unique opportunity to apply your public health and informatics skills in a new arena, contributing to AI tools that could one day support better health decisions at scale.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Evaluate and improve AI-generated content related to population health, epidemiology, and health informatics
- Review data analysis scenarios, health metrics, and public health strategies for accuracy and real-world applicability
- Identify gaps, errors, or oversimplifications in AI outputs related to health disparities, surveillance, and outcome modeling
- Provide structured, expert feedback that helps AI systems reason more accurately about population-level health challenges
- Contribute to the design and evaluation of dashboards, data pipelines, and reporting framework scenarios used in AI training
- Work independently and asynchronously on task-based assignments that fit your schedule
- Experienced with healthcare, public health, or population-level datasets
- Strong analytical background with skills in data visualization and reporting
- Able to translate complex health data concepts into clear, actionable insights
- Comfortable evaluating technical health content for accuracy and quality
- Detail-oriented, reliable, and self-motivated
- Experience with data annotation, data quality assurance, or evaluation systems
- Familiarity with epidemiological surveillance or community health initiatives
- Background in biostatistics, health informatics, or public health policy
- Prior exposure to AI or machine learning workflows
- Work on cutting-edge AI projects with top-tier research labs and teams
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and meaningful global collaboration
- Contribute domain expertise that directly shapes how AI understands population health
- Potential for ongoing work and contract extension
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