Remote Population Health AI Quality Reviewer

Alignerr Corp.; Austin (CO); Remoto; USD 55.000 - 96.000; Part-time

Vantaggi offerti da questo lavoro

Fully remote

Flexible schedule

Descrizione del lavoro

Alignerr is seeking a Population Health Informaticist to contribute domain expertise to AI training focused on health data, analytics, and public health reasoning. You will evaluate AI-generated content related to population health and help ensure accuracy for real-world applicability.

Ideal candidates have experience with healthcare datasets and strong data visualization skills, with the ability to translate complex health concepts into clear insights.

Competenze

• Experience with healthcare, public health, or population-level datasets.
• Strong analytical background with data visualization and reporting.
• Ability to translate complex health data concepts into clear, actionable insights.
• Detail-oriented, reliable, and self-motivated.

Mansioni

• Evaluate and improve AI-generated content related to population health, epidemiology, and health informatics.
• Review data analysis scenarios, health metrics, and public health strategies for accuracy and real-world applicability.
• Identify gaps, errors, or oversimplifications in AI outputs related to health disparities, surveillance, and outcome modeling.
• Provide structured, expert feedback that helps AI systems reason more accurately about population-level health challenges.
• Contribute to the design and evaluation of dashboards, data pipelines, and reporting framework scenarios used in AI training.
• Work independently and asynchronously on task-based assignments that fit your schedule.

Conoscenze

Healthcare data

Public health data

Data visualization

Reporting

Independent work

Formazione

Biostatistics

Health informatics

Public health policy

Descrizione del lavoro

Alignerr is seeking a Population Health Informaticist to contribute domain expertise to AI training focused on health data, analytics, and public health reasoning. You will evaluate AI-generated content related to population health and help ensure accuracy for real-world applicability.

Ideal candidates have experience with healthcare datasets and strong data visualization skills, with the ability to translate complex health concepts into clear insights.