Population Health Informaticist
Alignerr
Date: 3 hours ago
City: Milwaukee, WI
Salary:
$35
-
$75
per hour
Contract type: Contractor
Remote
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 bring their domain expertise to AI — helping ensure that health-focused AI systems are accurate, insightful, and genuinely useful.
This is a unique opportunity to apply your public health and data analytics background in a new context: shaping how AI understands and reasons about population-level health data.
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-focused AI systems are accurate, insightful, and genuinely useful.
This is a unique opportunity to apply your public health and data analytics background in a new context: shaping how AI understands and reasons about population-level health data.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Evaluate AI-generated analyses of population health data for accuracy, clinical relevance, and methodological soundness
- Review and provide structured feedback on AI outputs related to health trends, disparities, surveillance, and intervention strategies
- Apply your expertise to identify gaps, errors, or oversimplifications in how AI interprets epidemiological and public health concepts
- Help develop and refine evaluation criteria for health informatics tasks
- Work independently and asynchronously on your own schedule
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical skills with the ability to assess data quality, methodology, and interpretation
- Familiar with health metrics, surveillance systems, dashboards, or reporting frameworks
- Able to communicate complex insights clearly in writing
- Detail-oriented and self-motivated
- Experience with data annotation, data quality assessment, or evaluation workflows
- Background in epidemiology, biostatistics, or public health informatics
- Familiarity with tools like Tableau, Power BI, SAS, R, or Python for health data analysis
- Prior work with AI, machine learning, or clinical decision support systems
- Work on cutting-edge AI projects with top research labs tackling real public health challenges
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work where your health expertise directly improves AI quality
- Potential for ongoing work and contract extension
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