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, analytics, and public health reasoning are represented accurately and effectively in next-generation AI systems.

This is a unique opportunity to apply your public health and informatics skills in a new arena, contributing to AI tools that could one day support better health decisions at scale.

What You'll Do

• 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

Who You Are

• Experienced with healthcare, public health, or population-level datasets
• Strong analytical background with skills in data visualization and reporting
• Able to translate complex health data concepts into clear, actionable insights
• Comfortable evaluating technical health content for accuracy and quality
• Detail-oriented, reliable, and self-motivated

Nice to Have

• Experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with epidemiological surveillance or community health initiatives
• Background in biostatistics, health informatics, or public health policy
• Prior exposure to AI or machine learning workflows

Why Join Us

• Work on cutting-edge AI projects with top-tier research labs and teams
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and meaningful global collaboration
• Contribute domain expertise that directly shapes how AI understands population health
• Potential for ongoing work and contract extension