Population Health Informaticist
Alignerr Corp.
Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need population health experts to help shape it. As a Population Health Informaticist, you'll apply your real-world expertise to evaluate, annotate, and improve AI systems working with large-scale health data.
Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need population health experts to help shape it. As a Population Health Informaticist, you'll apply your real-world expertise to evaluate, annotate, and improve AI systems working with large-scale health data.
This is a fully remote, flexible contract role. You set your schedule and work on your own terms.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy and quality
- Apply your expertise to assess how well AI handles population-level metrics, health disparities, and epidemiological trends
- Identify gaps, errors, or misleading interpretations in AI-generated health insights
- Provide structured, expert feedback to help AI systems reason more accurately about community health data
- Review and annotate dashboards, data pipelines, and reporting frameworks generated or described by AI tools
- Translate your domain knowledge into clear, actionable evaluations that directly improve AI performance
Who You Are
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical thinker with a solid grasp of epidemiology, health metrics, or biostatistics
- Comfortable evaluating data visualizations, dashboards, and reporting outputs
- Able to communicate complex findings clearly and concisely in writing
- Self-directed, reliable, and detail-oriented
- Comfortable working asynchronously in a remote environment
Nice to Have
- Experience with data annotation, quality review, or evaluation systems
- Background in public health informatics, health IT, or clinical data management
- Familiarity with tools such as Tableau, Power BI, QGIS, or similar platforms
- Prior work in health equity, chronic disease surveillance, or community health programs
Why Join Us
- Work on cutting-edge AI projects with top research labs shaping the future of health AI
- Fully remote and flexible — work when and how it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Contribute meaningful expertise to AI that has real-world health impact
- Potential for ongoing work and contract extension
Vacancy posted 4 days ago
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