Remote Population Health AI Training Specialist

Alignerr Corp.; Sheffield (TX); Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Autonomy

Global collaboration

Flexible schedule

Job summary

Alignerr is seeking a Population Health Informaticist to help train and evaluate AI systems using large-scale health datasets. This remote, hourly-contract role involves applying public health expertise to inform AI understanding of health trends and disparities.

You will review AI outputs, provide structured feedback, and work asynchronously on task-based assignments with a focus on epidemiology concepts and data reporting standards.

Qualifications

• Background in public health, health informatics, or epidemiology.
• Hands-on experience with population-level health datasets.
• Strong analytical skills and ability to critique data outputs.
• Ability to translate complex health data into clear feedback.
• Detail-oriented with experience following evaluation guidelines.

Responsibilities

• Evaluate AI-generated population health content for accuracy and real-world relevance.
• Review data-derived health metrics and outputs produced by AI systems.
• Identify gaps or misleading interpretations in AI-powered health analyses.
• Provide structured feedback drawing on health disparities and surveillance knowledge.
• Help align AI explanations with epidemiological concepts and reporting standards.
• Work independently on assignment-based tasks with asynchronous communication.

Skills

Public health background

Analytical skills

Data interpretation

Structured feedback

Detail-oriented

Asynchronous work

Tools

Dashboards

Data pipelines

Health surveillance tools

Job description

Alignerr is seeking a Population Health Informaticist to help train and evaluate AI systems using large-scale health datasets. This remote, hourly-contract role involves applying public health expertise to inform AI understanding of health trends and disparities.

You will review AI outputs, provide structured feedback, and work asynchronously on task-based assignments with a focus on epidemiology concepts and data reporting standards.