Remote Population Health AI Informaticist (Contract)

Alignerr Corp.; Portugal; Remote; EUR 34,000 - 62,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Job summary

Alignerr is seeking a Population Health Informaticist for AI training on health data, outcomes, and population-level insights. This fully remote, hourly contract role offers flexible scheduling and the chance to influence AI understanding and interpretation of public health data.

The ideal candidate has experience with healthcare datasets, data visualization, and the ability to translate complex analytics into actionable guidance for AI training. Remote work supports asynchronous collaboration.

Qualifications

• Experience with healthcare/public health datasets.
• Proficient in data visualization and dashboards.
• Ability to translate complex data into actionable insights.
• Attention to detail and ability to work asynchronously.

Responsibilities

• Evaluate and improve AI-generated content related to population health data, epidemiology, and health informatics.
• Collect, integrate, and assess population health metrics to identify trends, disparities, and intervention opportunities.
• Review AI outputs for accuracy, completeness, and clinical or public health relevance.
• Design and critique dashboards, data pipelines, and reporting frameworks used in population health monitoring and surveillance.
• Translate complex analytical insights into clear, actionable guidance for AI training purposes.
• Provide structured, expert feedback that helps AI systems reason more effectively about public health scenarios.

Skills

Public health data

Data analysis

Data visualization

Dashboard tools

Independent work

Tools

Tableau

Power BI

SAS

R

Python

Job description

Alignerr is seeking a Population Health Informaticist for AI training on health data, outcomes, and population-level insights. This fully remote, hourly contract role offers flexible scheduling and the chance to influence AI understanding and interpretation of public health data.

The ideal candidate has experience with healthcare datasets, data visualization, and the ability to translate complex analytics into actionable guidance for AI training. Remote work supports asynchronous collaboration.