Population Health Informaticist

Alignerr Corp.

Tampa (FL)

Remote

USD 14,000 - 55,000

Part time

5 days ago
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Benefits offered by this job

Fully remote
Flexible hours
Freelance autonomy

Job summary

Alignerr is seeking a Population Health Informaticist to help shape how AI understands large-scale health data. You will evaluate AI-generated health outputs, review analyses, and provide structured feedback to improve reliability and actionability.

Work remotely with flexible hours, collaborating with a global team of AI researchers on public health applications and epidemiology-focused insights.

Qualifications

  • Experienced working with healthcare, public health, or population-level datasets.
  • Strong in health data analysis, visualization, and reporting — including dashboards and surveillance tools.
  • Able to critically assess whether data-driven health insights are accurate, complete, and appropriately interpreted.
  • Comfortable working independently and asynchronously on task-based assignments.
  • Strong written communicator who can articulate nuanced feedback clearly.

Responsibilities

  • Evaluate AI-generated content and outputs related to population health, epidemiology, and health disparities for accuracy and clinical relevance.
  • Review and assess AI-produced analyses involving health metrics, surveillance data, and community health trends.
  • Identify errors, gaps, or misleading interpretations in AI reasoning about public health topics.
  • Provide structured, expert feedback to help AI systems produce more reliable and actionable health insights.
  • Apply your knowledge of health data pipelines, dashboards, and reporting frameworks to assess AI-generated solutions.
  • Translate complex health informatics concepts into clear, grounded evaluations.

Skills

Healthcare data analysis
Data visualization
Public health surveillance
Critical data insights assessment
Written communication

Education

Background in epidemiology/biostatistics/public health informatics

Job description

Population Health Informaticist (AI Training)
About The Role

We’re partnering with 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 apply your expertise to evaluate, improve, and shape how AI understands and reasons about large-scale health data.

Your domain knowledge will directly influence AI systems that support public health decision‑making, clinical research, and community health strategy. This is a rare opportunity to work at the intersection of healthcare analytics and cutting‑edge AI — entirely on your own schedule.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Evaluate AI-generated content and outputs related to population health, epidemiology, and health disparities for accuracy and clinical relevance
  • Review and assess AI-produced analyses involving health metrics, surveillance data, and community health trends
  • Identify errors, gaps, or misleading interpretations in AI reasoning about public health topics
  • Provide structured, expert feedback to help AI systems produce more reliable and actionable health insights
  • Apply your knowledge of health data pipelines, dashboards, and reporting frameworks to assess AI-generated solutions
  • Translate complex health informatics concepts into clear, grounded evaluations
Who You Are
  • Experienced working with healthcare, public health, or population-level datasets
  • Skilled in health data analysis, visualization, and reporting — including dashboards and surveillance tools
  • Able to critically assess whether data-driven health insights are accurate, complete, and appropriately interpreted
  • Comfortable working independently and asynchronously on task-based assignments
  • Strong written communicator who can articulate nuanced feedback clearly
Nice to Have
  • Background in epidemiology, biostatistics, or public health informatics
  • Experience with data annotation, data quality assessment, or evaluation frameworks
  • Familiarity with AI tools or language model evaluation workflows
  • Knowledge of health equity, social determinants of health, or community health interventions
Why Join Us
  • Work on meaningful AI projects with real-world public health implications
  • Fully remote and flexible — set your own hours and workload
  • Collaborate with a global network of domain experts and AI researchers
  • Freelance autonomy with the backing of top-tier AI research teams
  • Ongoing contract potential as projects expand
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