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Population Health Informaticist

Job in Charlotte, Independence County, Arkansas, 72522, USA
Listing for: Alignerr
Full Time position
Listed on 2026-09-15
Job specializations:
  • IT/Tech
    AI Evaluation, Data Analyst
Salary/Wage Range or Industry Benchmark: 40 - 70 USD Hourly USD 40.00 70.00 HOUR
Job Description & How to Apply Below

Population Health Informaticist (AI Training) About The Role

At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to bring their domain expertise to AI — helping shape how next-generation systems understand, reason about, and act on population-level health data.

Your real-world knowledge of health informatics, data pipelines, and population analytics will directly improve the quality and reliability of AI in one of the most impactful fields on the planet.

  • Organization:
    Alignerr
  • Type:
    Hourly Contract
  • Location:

    Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Evaluate and provide expert feedback on AI-generated population health analyses, dashboards, and data strategies
  • Identify errors, gaps, or misleading conclusions in AI outputs related to health trends, disparities, and outcome metrics
  • Review and assess the quality of AI-designed data pipelines, surveillance frameworks, and reporting structures
  • Translate complex analytical scenarios into clear, structured feedback that helps AI systems reason more accurately about public health
  • Work independently and asynchronously on flexible, task-based assignments
Who You Are
  • Experienced working with healthcare, public health, or population-level datasets
  • Strong analytical thinker with the ability to spot flawed methodology or misleading data interpretations
  • Skilled in data visualization, dashboards, and health reporting frameworks
  • Able to communicate complex insights clearly and concisely in writing
  • Detail-oriented and self-motivated — comfortable working independently
Nice to Have
  • Background in epidemiology, biostatistics, public health informatics, or health data science
  • Experience with data annotation, data quality assessment, or evaluation systems
  • Familiarity with AI workflows or model evaluation processes
  • Prior work with surveillance systems, EHR platforms, or population health management tools
Why Join Us
  • Work on cutting-edge AI projects alongside top research labs and institutions
  • Fully remote and flexible — set your own schedule and workload
  • Freelance perks: autonomy, variety, and global collaboration
  • Apply your public health expertise to work that scales your impact far beyond a single organization
  • Potential for ongoing work and contract extension
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