Population Health Informaticist (AI Training) 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
What You'll Do
- 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
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
Why Join Us
- 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
