Remote Population Health AI Evaluator

Alignerr Corp.; Sheffield (TX); Remote; USD 14,000 - 55,000; Part time

Job summary

Alignerr seeks a Population Health Informaticist for AI Training to evaluate health AI outputs and provide structured feedback. Remote, hourly contract, 10–40 hours per week. You will apply public health expertise to review data nuances, metrics, and epidemiological concepts, guiding improvements in AI reasoning.

Collaborating with leading AI teams, you’ll translate complex health data into clear guidance for non-technical stakeholders and help ensure real-world applicability of insights.

Qualifications

• Background in public health, epidemiology, or related field.
• Hands-on experience with population-level or healthcare datasets.
• Strong analytical skills to evaluate data outputs and visualizations.
• Ability to translate health data concepts into clear, structured feedback.

Responsibilities

• Evaluate AI-generated content related to population health for accuracy, completeness, and real-world applicability.
• Review data-driven insights, health metrics, and analytical outputs produced by AI systems.
• Identify gaps, errors, or misleading interpretations in AI-generated public health analyses.
• Apply knowledge of health disparities, surveillance systems, and population-level outcomes to provide structured feedback.
• Help refine AI understanding of epidemiological concepts, health informatics frameworks, and data reporting standards.
• Work independently and asynchronously on task-based assignments.

Skills

Public health

Data analysis

Critical thinking

Structured feedback

Independent work

Education

Public health degree

Tools

Dashboards

Data pipelines

Health surveillance tools

Job description

Alignerr seeks a Population Health Informaticist for AI Training to evaluate health AI outputs and provide structured feedback. Remote, hourly contract, 10–40 hours per week. You will apply public health expertise to review data nuances, metrics, and epidemiological concepts, guiding improvements in AI reasoning.

Collaborating with leading AI teams, you’ll translate complex health data into clear guidance for non-technical stakeholders and help ensure real-world applicability of insights.