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Population Health Informaticist

Job in Kettering, Montgomery County, Ohio, USA
Listing for: Alignerr
Part Time position
Listed on 2026-11-05
Job specializations:
  • Healthcare
    AI Evaluation
Salary/Wage Range or Industry Benchmark: 48000 - 96000 USD Yearly USD 48000.00 96000.00 YEAR
Job Description & How to Apply Below
Population Health Informaticist (AI Training) About

The Role

We're partnering with world-leading AI research labs to build smarter, more accurate health AI - and we need experienced population health professionals to make it happen. As a Population Health Informaticist, you'll bring your real-world expertise to evaluate, shape, and improve AI systems that reason about health data, trends, and outcomes.

  • 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, completeness, and clinical relevance
  • Review and assess data pipelines, dashboards, and reporting frameworks produced or described by AI systems
  • Identify errors, gaps, or misleading interpretations in AI-generated health insights and surveillance outputs
  • Provide structured, expert feedback that helps AI better understand population-level health metrics and disparities
  • Translate your analytical expertise into clear evaluations that improve AI reasoning in public health contexts
  • Work independently and asynchronously on your own schedule
Who You Are
  • Experienced in population health, public health informatics, epidemiology, or a closely related field
  • Comfortable working with large-scale healthcare or population-level datasets
  • Skilled in data analysis, visualization, and translating complex findings into actionable insights
  • Familiar with health surveillance systems, dashboards, or reporting tools
  • Strong written communicator who can explain analytical judgments clearly
  • Detail-oriented and reliable when working independently
Nice to Have
  • Experience with data annotation, data quality assessment, or evaluation frameworks
  • Background in health equity, social determinants of health, or community health programs
  • Familiarity with AI or machine learning applications in healthcare
  • Experience working in or alongside public health agencies or health systems
Why Join Us
  • Work on cutting-edge AI projects with top research labs and institutions
  • Fully remote and flexible - set your own hours and workload
  • Apply your public health expertise to work that shapes the future of health AI
  • Freelance perks: autonomy, variety, and collaboration with experts across the globe
  • Potential for ongoing work and contract extension
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