More jobs:
Population Health Informaticist
Job in
Charlotte, Independence County, Arkansas, 72522, USA
Listed on 2026-09-15
Listing for:
Alignerr
Full Time
position Listed on 2026-09-15
Job specializations:
-
IT/Tech
AI Evaluation, Data Analyst
Job Description & How to Apply Below
Population Health Informaticist (AI Training) About The Role
At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for experienced Population Health Informaticists to bring their domain expertise to AI — helping shape how next-generation systems understand, reason about, and act on population-level health data.
Your real-world knowledge of health informatics, data pipelines, and population analytics will directly improve the quality and reliability of AI in one of the most impactful fields on the planet.
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 10–40 hours/week
- Evaluate and provide expert feedback on AI-generated population health analyses, dashboards, and data strategies
- Identify errors, gaps, or misleading conclusions in AI outputs related to health trends, disparities, and outcome metrics
- Review and assess the quality of AI-designed data pipelines, surveillance frameworks, and reporting structures
- Translate complex analytical scenarios into clear, structured feedback that helps AI systems reason more accurately about public health
- Work independently and asynchronously on flexible, task-based assignments
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical thinker with the ability to spot flawed methodology or misleading data interpretations
- Skilled in data visualization, dashboards, and health reporting frameworks
- Able to communicate complex insights clearly and concisely in writing
- Detail-oriented and self-motivated — comfortable working independently
- Background in epidemiology, biostatistics, public health informatics, or health data science
- Experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI workflows or model evaluation processes
- Prior work with surveillance systems, EHR platforms, or population health management tools
- Work on cutting-edge AI projects alongside top research labs and institutions
- Fully remote and flexible — set your own schedule and workload
- Freelance perks: autonomy, variety, and global collaboration
- Apply your public health expertise to work that scales your impact far beyond a single organization
- Potential for ongoing work and contract extension
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