Remote Population Health Informaticist for AI Training

Alignerr Corp.; Auckland; Remote; NZD 55,000 - 103,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Global collaboration

Contract extension potential

Job summary

Alignerr is seeking a Population Health Informaticist to review AI-generated analyses of population health data. You will assess accuracy, relevance, and clinical soundness of AI outputs, focusing on health trends, disparities, and epidemiology.

You will provide structured feedback to improve AI reasoning about public health concepts, working independently on a flexible hourly contract with remote, asynchronous scheduling.

Qualifications

• Experience working with healthcare, public health, or population-level datasets.
• Strong analytical background with familiarity in dashboards or health reporting tools.
• Ability to identify nuanced errors in health data interpretation.
• Able to translate complex data insights into clear feedback.

Responsibilities

• Evaluate AI-generated analyses of population health data for accuracy, relevance, and clinical soundness.
• Review outputs related to health trends, epidemiological patterns, and community-level disparities.
• Provide structured expert feedback to help AI systems reason more accurately about public health concepts.
• Identify gaps, errors, or misleading conclusions in AI-generated health content.
• Apply knowledge of data pipelines, dashboards, and health reporting frameworks to evaluate AI outputs in context.
• Work independently and asynchronously on your own schedule.

Skills

Healthcare data

Data visualization

Public health data

Analytical thinking

Job description

Alignerr is seeking a Population Health Informaticist to review AI-generated analyses of population health data. You will assess accuracy, relevance, and clinical soundness of AI outputs, focusing on health trends, disparities, and epidemiology.

You will provide structured feedback to improve AI reasoning about public health concepts, working independently on a flexible hourly contract with remote, asynchronous scheduling.