

Alignerr
Population Health Informaticist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Population Health Informaticist (AI Training) for an hourly contract, remote, requiring 10–40 hours/week. Key skills include healthcare data experience, analytical thinking, data visualization, and clear communication. Preferred background includes epidemiology or health data science.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
April 18, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, AR
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🧠 - Skills detailed
#Model Evaluation #Data Pipeline #AI (Artificial Intelligence) #Data Quality #Visualization #Data Science #Data Interpretation #Datasets #Statistics
Role description
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
What You'll Do
• 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
Who You Are
• 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
Nice to Have
• 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
Why Join Us
• 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
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
What You'll Do
• 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
Who You Are
• 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
Nice to Have
• 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
Why Join Us
• 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


