Population Health Informaticist

Alignerr Corp.

Charlotte (AR)

Remote

USD 55,000 - 96,000

Part time

9 hours ago
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Job summary

Alignerr is seeking a Population Health Informaticist for AI training. You will evaluate AI-generated population health analyses and data strategies using your health informatics expertise, helping AI systems better understand health data and outcomes.

Remotely contracted, 10–40 hours per week, with flexible scheduling and independent, task-based work while contributing to high-impact health AI projects.

Qualifications

  • Experience with healthcare or public health datasets.
  • Strong analytical thinking to spot flawed methods.
  • Ability to communicate insights clearly in writing.

Responsibilities

  • 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 for improved AI reasoning in public health.
  • Work independently and asynchronously on flexible, task-based assignments.

Skills

Healthcare data
Public health data
Data visualization
Written communication

Job description

Population Health Informaticist (AI Training)

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.

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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