Remote Population Health AI Trainer & Quality Evaluator

Alignerr; Pittsburgh (Allegheny County); On-site; USD 69,000 - 124,000; Part time

Job summary

Alignerr is seeking a Population Health Informaticist for AI Training to evaluate and annotate AI-generated health content, focusing on population health, epidemiology, and public health data insights. This role is remote and freelance, offering flexible hours.

You will assess accuracy, relevance, and quality of health data interpretations produced by AI systems, identify gaps and disparities, and provide expert feedback to improve dashboards, data pipelines, and reporting frameworks within

Qualifications

• Experience with healthcare or public health datasets.
• Ability to assess AI-generated health insights.
• Strong analytical and communication skills.
• Experience with data dashboards and reporting.

Responsibilities

• Evaluate and annotate AI-generated content related to population health, epidemiology, and public health data analysis
• Assess the accuracy, relevance, and quality of health data interpretations produced by AI systems
• Identify gaps, errors, and disparities in AI-generated insights across community health topics
• Provide expert feedback on dashboards, data pipelines, and reporting frameworks within AI-generated outputs
• Translate your domain expertise into structured, actionable feedback that improves AI performance in health contexts
• Review and validate AI reasoning around health trends, surveillance data, and intervention strategies

Skills

Health Data Analysis

Epidemiology

Data Quality Assessment

Dashboard Review

Clear Communication

Independent Work

Job description

Alignerr is seeking a Population Health Informaticist for AI Training to evaluate and annotate AI-generated health content, focusing on population health, epidemiology, and public health data insights. This role is remote and freelance, offering flexible hours.

You will assess accuracy, relevance, and quality of health data interpretations produced by AI systems, identify gaps and disparities, and provide expert feedback to improve dashboards, data pipelines, and reporting frameworks within