Population Health AI Training Specialist

Alignerr Corp.; Pittsburgh (Allegheny County); Remote; USD 83,000 - 138,000; Part time

Job summary

Alignerr is seeking a Population Health Informaticist (AI Training) to annotate and evaluate AI-generated health content. You will assess accuracy, relevance, and quality of health data interpretations produced by AI systems, identify gaps, and provide expert feedback on dashboards and data pipelines.

The role is remote, hourly, with 10–40 hours per week, offering freelance autonomy while contributing to cutting-edge health AI projects.

Qualifications

• Experience with healthcare, public health, or population-level datasets.
• Strong analytical thinking with health metrics and epidemiological methods.
• Ability to identify trends, disparities, and data quality issues in health data.
• Comfort with evaluating data visualizations, dashboards, and reporting frameworks.
• Excellent written communication of complex findings.

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 insights across community health topics.
• Provide expert feedback on dashboards, data pipelines, and reporting frameworks within AI outputs.
• Translate domain expertise into structured, actionable feedback to improve AI performance in health contexts.
• Review and validate AI reasoning around health trends, surveillance data, and interventions.

Skills

Healthcare data

Epidemiology

Population health

Data quality

Dashboards

Data visualization

Written communication

Self-directed

Job description

Alignerr is seeking a Population Health Informaticist (AI Training) to annotate and evaluate AI-generated health content. You will assess accuracy, relevance, and quality of health data interpretations produced by AI systems, identify gaps, and provide expert feedback on dashboards and data pipelines.

The role is remote, hourly, with 10–40 hours per week, offering freelance autonomy while contributing to cutting-edge health AI projects.