Remote Population Health AI Training Evaluator

Alignerr Corp.; España; Remote; EUR 55,000 - 103,000; Part time

Job summary

Alignerr is seeking a Population Health Informaticist to join our AI training projects focused on public health, health equity, and population-level outcomes. You will evaluate AI-generated content and provide structured feedback to improve data quality and interpretation.

This remote, hourly-contract role offers 10–40 hours per week with flexible scheduling. Ideal candidates have experience with healthcare data, dashboards, and data visualization, and can work independently across time zones.

Qualifications

• Experience with healthcare or population health datasets.
• Skilled in data analysis and visualization, including dashboards and reporting tools.
• Ability to critically evaluate health data narratives and flag inaccuracies.
• Able to translate complex data insights into clear, actionable language.
• Detail-oriented, self-directed, and reliable.

Responsibilities

• Evaluate and improve AI-generated content related to population health data and strategy.
• Review outputs for accuracy, clinical relevance, and data integrity across population-level datasets.
• Identify gaps, errors, or misleading interpretations in health metrics, surveillance data, and epidemiological analysis.
• Assess dashboards, data pipelines, and reporting frameworks described by AI.
• Translate analytical concepts into structured feedback to improve models.
• Work independently and asynchronously on your own schedule.

Skills

Data analysis

Visualization

Dashboards

Critical evaluation

Clear communication

Healthcare datasets

Tools

Tableau

Power BI

QGIS

PHDI

CDC WONDER

Job description

Alignerr is seeking a Population Health Informaticist to join our AI training projects focused on public health, health equity, and population-level outcomes. You will evaluate AI-generated content and provide structured feedback to improve data quality and interpretation.

This remote, hourly-contract role offers 10–40 hours per week with flexible scheduling. Ideal candidates have experience with healthcare data, dashboards, and data visualization, and can work independently across time zones.