Population Health Informaticist
Alignerr
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 apply their expertise to AI projects focused on improving how intelligent systems understand, analyze, and act on population-level health data.
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 apply their expertise to AI projects focused on improving how intelligent systems understand, analyze, and act on population-level health data.
Your domain knowledge will directly shape the quality and accuracy of AI tools built for public health - meaningful work that extends beyond the screen.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10-40 hours/week
What You'll Do
- Evaluate and improve AI-generated analyses of population health datasets for accuracy, depth, and clinical relevance
- Identify gaps, errors, or misinterpretations in AI outputs related to health trends, disparities, and community outcomes
- Provide structured expert feedback on data pipelines, dashboard logic, and health surveillance frameworks
- Apply your knowledge of epidemiology, health equity, and public health informatics to guide AI reasoning
- Work independently and asynchronously on task-based assignments - fully on your own schedule
Who You Are
- Experienced working with healthcare, public health, or population-level datasets
- Skilled in data analysis, visualization, or health informatics tools and reporting frameworks
- Able to translate complex analytical findings into clear, actionable insights
- Detail-oriented with strong written communication skills
- Comfortable evaluating and critiquing technical health data work at scale
Nice to Have
- Background in epidemiology, biostatistics, public health, or health informatics
- Experience with data annotation, quality assurance, or evaluation systems
- Familiarity with AI or machine learning workflows in a health context
- Prior work in health equity, surveillance systems, or population health management
Why Join Us
- Work on cutting-edge AI projects with top research labs shaping the future of health AI
- Fully remote and flexible - work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Apply your expertise to projects that have real public health significance
- Potential for ongoing work and contract extension
Vacancy posted 6 hours ago
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