Remote Population Health Informaticist for AI Training

Alignerr Corp.; Columbus (OH); Teletrabalho; USD 14 000 - 55 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Fully remote and flexible work

Autonomy and flexible schedule

Global collaboration

Contract-based ongoing opportunities

Resumo da oferta

Alignerr Corp. is seeking a Population Health Informaticist for AI training. You will annotate and evaluate AI-generated content related to population health and epidemiology, focusing on accuracy, completeness, and clinical relevance.

You will translate domain knowledge into actionable feedback to improve AI reasoning about health trends and disparities. The role is remote, hourly, and flexible, with 10–40 hours per week, offering autonomy and opportunities for ongoing engagement in frontier AI

Qualificações

• Hands-on experience with healthcare, public health, or population-level datasets.
• Strong analytical skills with dashboards/health reporting tools.
• Ability to evaluate health data outputs for errors or misleading interpretations.
• Clear written communication of technical findings.

Responsabilidades

• Evaluate and annotate AI-generated content related to population health and epidemiology.
• Assess accuracy, completeness, and clinical relevance of AI outputs with health metrics and disparities.
• Review data pipelines, dashboards, and reporting frameworks in AI scenarios.
• Provide structured feedback to improve AI reasoning on population health challenges.
• Work independently and asynchronously on task-based assignments.

Conhecimentos

Healthcare datasets

Data visualization

Data quality assessment

Written communication

Attention to detail

Ferramentas

Tableau

Power BI

SAS

R

Python

Descrição da oferta de emprego

Alignerr Corp. is seeking a Population Health Informaticist for AI training. You will annotate and evaluate AI-generated content related to population health and epidemiology, focusing on accuracy, completeness, and clinical relevance.

You will translate domain knowledge into actionable feedback to improve AI reasoning about health trends and disparities. The role is remote, hourly, and flexible, with 10–40 hours per week, offering autonomy and opportunities for ongoing engagement in frontier AI