Population Health Informaticist

Alignerr Corp.

Sheffield (TX)

Remoto

USD 55.000 - 110.000

Part-time

14 ore fa
Candidati tra i primi
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Vantaggi offerti da questo lavoro

Autonomy
Global collaboration
Flexible schedule

Descrizione del lavoro

Alignerr is seeking a Population Health Informaticist to help train and evaluate AI systems using large-scale health datasets. This remote, hourly-contract role involves applying public health expertise to inform AI understanding of health trends and disparities.

You will review AI outputs, provide structured feedback, and work asynchronously on task-based assignments with a focus on epidemiology concepts and data reporting standards.

Competenze

  • Background in public health, health informatics, or epidemiology.
  • Hands-on experience with population-level health datasets.
  • Strong analytical skills and ability to critique data outputs.
  • Ability to translate complex health data into clear feedback.
  • Detail-oriented with experience following evaluation guidelines.

Mansioni

  • Evaluate AI-generated population health content for accuracy and real-world relevance.
  • Review data-derived health metrics and outputs produced by AI systems.
  • Identify gaps or misleading interpretations in AI-powered health analyses.
  • Provide structured feedback drawing on health disparities and surveillance knowledge.
  • Help align AI explanations with epidemiological concepts and reporting standards.
  • Work independently on assignment-based tasks with asynchronous communication.

Conoscenze

Public health background
Analytical skills
Data interpretation
Structured feedback
Detail-oriented
Asynchronous work

Strumenti

Dashboards
Data pipelines
Health surveillance tools

Descrizione del lavoro

Population Health Informaticist (AI Training)

We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need experts who understand population health data from the inside out.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10-40 hours/week

As a Population Health Informaticist, you'll apply your expertise in large-scale health datasets, analytics, and public health strategy to help train and evaluate AI systems. Your domain knowledge will directly shape how AI understands health trends, disparities, and interventions across communities.

What You'll Do
  • Evaluate AI-generated content related to population health for accuracy, completeness, and real-world applicability
  • Review and assess data-driven insights, health metrics, and analytical outputs produced by AI systems
  • Identify gaps, errors, or misleading interpretations in AI-generated public health analyses
  • Apply your knowledge of health disparities, surveillance systems, and population-level outcomes to provide structured expert feedback
  • Help refine AI understanding of epidemiological concepts, health informatics frameworks, and data reporting standards
  • Work independently and asynchronously on task-based assignments
Who You Are
  • Background in public health, health informatics, epidemiology, or a related field
  • Hands-on experience working with population-level or healthcare datasets
  • Strong analytical skills with the ability to critically evaluate data outputs and visualizations
  • Ability to translate complex health data concepts into clear, structured feedback
  • Detail-oriented and comfortable working with structured evaluation guidelines
  • No prior AI experience required — your public health expertise is what matters
Nice to Have
  • Experience with dashboards, data pipelines, or health surveillance reporting tools
  • Familiarity with data annotation, quality review, or evaluation systems
  • Prior work in chronic disease management, health equity, or community health programs
  • Experience translating data insights for non-technical stakeholders
Why Join Us
  • Work on cutting-edge AI projects with top research labs
  • Fully remote and flexible — work on your own schedule
  • Freelance perks: autonomy, variety, and global collaboration
  • Contribute to AI that could genuinely improve how health systems understand and serve populations
  • Potential for ongoing work and contract extension
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