Population Health Informaticist

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

About the Role

We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need experts who understand population health data from the inside out. As a Population Health Informaticist, you'll apply your expertise in large-scale health datasets, analytics, and public health strategy to help train and evaluate AI systems. Your domain knowledge will directly shape how AI understands health trends, disparities, and interventions across communities.

Responsibilities

• Evaluate AI-generated content related to population health for accuracy, completeness, and real-world applicability
• Review and assess data-driven insights, health metrics, and analytical outputs produced by AI systems
• Identify gaps, errors, or misleading interpretations in AI-generated public health analyses
• Apply your knowledge of health disparities, surveillance systems, and population-level outcomes to provide structured expert feedback
• Help refine AI understanding of epidemiological concepts, health informatics frameworks, and data reporting standards
• Work independently and asynchronously on task-based assignments

Requirements

• Background in public health, health informatics, epidemiology, or a related field
• Hands-on experience working with population-level or healthcare datasets
• Strong analytical skills with the ability to critically evaluate data outputs and visualizations
• Ability to translate complex health data concepts into clear, structured feedback
• Detail-oriented and comfortable working with structured evaluation guidelines
• No prior AI experience required — your public health expertise is what matters

Nice to Have

• Experience with dashboards, data pipelines, or health surveillance reporting tools
• Familiarity with data annotation, quality review, or evaluation systems
• Prior work in chronic disease management, health equity, or community health programs
• Experience translating data insights for non-technical stakeholders

Benefits

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to AI that could genuinely improve how health systems understand and serve populations
• Potential for ongoing work and contract extension