Population Health Informaticist

About The Role

At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to bring their domain expertise to AI — helping ensure that health data is interpreted accurately, meaningfully, and responsibly.

Your public health and data expertise will directly shape how AI understands population-level trends, health disparities, and evidence-based interventions. This is a rare opportunity to apply your skills at the intersection of health informatics and frontier AI.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

• Evaluate and annotate AI-generated content related to population health, epidemiology, and public health analytics
• Assess the accuracy, completeness, and clinical relevance of AI outputs involving health metrics, trends, and disparities
• 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 and asynchronously on task-based assignments at your own pace

• 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

• 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

• Work on cutting-edge AI projects with top research labs and teams
• Fully remote and flexible — work on your own schedule, anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work at the intersection of AI and public health
• Potential for ongoing work and contract extension