Remote Population Health Informatics for AI Training

Alignerr Corp.; Cambridge; Remote; GBP 55,000 - 96,000; Part time

Job summary

Alignerr is seeking a Population Health Informaticist to apply expertise to AI projects focused on population health data interpretation and health metrics.

This remote, hourly-contract role offers 10-40 hours per week, flexible scheduling, and the chance to contribute to cutting-edge AI training with healthcare datasets and diverse stakeholders.

Ideal candidates have experience with healthcare datasets, data analysis, and translating complex information into actionable insights for AI systems.

Qualifications

• Experience with healthcare, public health, or population-level datasets.
• Ability to analyze and visualize data using dashboards and reporting tools.
• Ability to identify trends, disparities, and intervention opportunities in large health datasets.
• Ability to translate complex data into clear, actionable insights for diverse stakeholders.

Responsibilities

• Evaluate and improve AI-generated content related to population health analytics, epidemiology, and public health data interpretation.
• Identify errors, gaps, and inaccuracies in AI outputs related to health metrics, disparities, and intervention strategies.
• Review and assess AI-generated dashboards, data narratives, and reporting frameworks for accuracy and real-world applicability.
• Translate complex population health concepts into structured feedback that helps AI systems reason more accurately.
• Work independently and asynchronously on task-based assignments that match your expertise.

Skills

Data analysis

Data visualization

Dashboard tools

Population health

Independent work

Job description

Alignerr is seeking a Population Health Informaticist to apply expertise to AI projects focused on population health data interpretation and health metrics.

This remote, hourly-contract role offers 10-40 hours per week, flexible scheduling, and the chance to contribute to cutting-edge AI training with healthcare datasets and diverse stakeholders.

Ideal candidates have experience with healthcare datasets, data analysis, and translating complex information into actionable insights for AI systems.