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Population Health Informaticist

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Alignerr Corp.
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    AI Evaluation
Salary/Wage Range or Industry Benchmark: 55000 - 110000 USD Yearly USD 55000.00 110000.00 YEAR
Job Description & How to Apply Below
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
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