Remote Population Health Informaticist (AI Training)

Alignerr Corp.

New York (NY)

Remote

USD 55,000 - 96,000

Part time

40 hours ago
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Benefits offered by this job

Autonomy
Variety
Global collaboration

Job summary

Alignerr is seeking a Population Health Informaticist for AI training to blend epidemiology with data science, shaping how AI understands population health challenges. This remote role offers flexibility and a focus on meaningful health analytics.

You will evaluate health data quality, provide expert feedback on AI outputs, and work asynchronously on a schedule that fits 10–40 hours per week.

Qualifications

  • Experience with healthcare, public health, or population-level datasets.
  • Strong analytical skills to evaluate health data and interpret trends.
  • Familiarity with data visualization, dashboards, or reporting tools in public health.
  • Ability to translate complex data concepts into clear, actionable insights.
  • Detail-oriented with ability to provide structured written feedback.

Responsibilities

  • Evaluate and improve AI-generated content related to population health data, epidemiology, and public health analytics.
  • Assess the accuracy, depth, and quality of AI outputs covering health metrics, disparities, and intervention strategies.
  • Identify gaps, errors, or oversimplifications in AI reasoning around community health trends and outcomes.
  • Provide structured, expert feedback to help AI systems better understand population health concepts.
  • Work independently and asynchronously — on a schedule that suits you.

Skills

Analytical skills
Healthcare datasets
Public health expertise
Data interpretation
Structured feedback

Education

Background in epidemiology/biostatistics/health informatics

Job description

Alignerr is seeking a Population Health Informaticist for AI training to blend epidemiology with data science, shaping how AI understands population health challenges. This remote role offers flexibility and a focus on meaningful health analytics.

You will evaluate health data quality, provide expert feedback on AI outputs, and work asynchronously on a schedule that fits 10–40 hours per week.

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