Population Health Informaticist

Evaluate and annotate AI-generated content

Evaluate and annotate AI-generated content related to population health, epidemiology, and public health analytics.

Audit AI Outputs

Assess the accuracy, completeness, and clinical relevance of AI outputs involving health metrics, trends, and disparities.

Provide Feedback

• Review and provide structured feedback on data pipelines, dashboards, and reporting frameworks as represented in AI-generated scenarios.
• Translate your domain knowledge into clear, actionable feedback that improves how AI reasons about population health challenges.

Work Independently

• Work on task-based assignments at your own pace independently and asynchronously.

Who You Are

• Hands-on experience working with healthcare, public health, or population-level datasets.
• Strong analytical skills with experience in data visualization, dashboards, and health reporting tools.
• Ability to evaluate complex health data outputs and identify errors, gaps, or misleading interpretations.
• Comfortable communicating technical findings clearly in written form.
• Detail-oriented, self-directed, and reliable.

Nice to Have

• Experience with data annotation, data quality assessment, or evaluation workflows.
• Background in epidemiology, biostatistics, health policy, or public health informatics.
• Familiarity with tools such as Tableau, Power BI, SAS, R, or Python for health analytics.
• Prior work with AI, machine learning datasets, or model evaluation.