Population Health Informaticist

Population Health Informaticist (AI Training)

About The Role

We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need population health experts to help make it happen. As a Population Health Informaticist, you'll apply your expertise to evaluate, annotate, and improve AI systems working with large-scale health data. Your insights will directly shape how AI understands population health trends, disparities, and interventions.

Population Health Informaticist (AI Training)

About The Role

We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need population health experts to help make it happen. As a Population Health Informaticist, you'll apply your expertise to evaluate, annotate, and improve AI systems working with large-scale health data. Your insights will directly shape how AI understands population health trends, disparities, and interventions.

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

What You'll Do

• Evaluate AI-generated population health analyses for accuracy, completeness, and clinical relevance
• Identify gaps, errors, or missed opportunities in AI outputs related to health trends, disparities, and intervention strategies
• Provide structured, expert feedback to help AI systems produce better population-level health insights
• Review data pipelines, dashboards, and reporting frameworks generated by AI for quality and usability
• Translate complex public health concepts into clear, actionable feedback that improves AI model performance

Who You Are

• Experienced with healthcare, public health, or population-level datasets
• Strong analytical mindset with the ability to spot meaningful patterns and errors in health data
• Skilled in data visualization, dashboards, or health reporting tools
• Able to communicate complex findings clearly and concisely in writing
• Self-motivated and comfortable working independently on asynchronous tasks

Nice to Have

• Background in epidemiology, biostatistics, health informatics, or a related field
• Experience with data annotation, data quality assurance, or evaluation workflows
• Familiarity with AI or machine learning systems in a healthcare context

Why Join Us

• Work on cutting-edge AI projects alongside world-class research teams
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that advances AI's role in improving public health
• Potential for ongoing work and contract extension