

Alignerr
Population Health Informaticist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Population Health Informaticist, a remote hourly contract position (10–40 hours/week) with a pay rate of "hourly rate." Key skills include data analysis, visualization, and experience with healthcare datasets. Background in epidemiology or health informatics is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
April 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Visualization #Data Quality #AI (Artificial Intelligence) #Datasets #ML (Machine Learning) #Data Analysis #Statistics #Data Pipeline
Role description
Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research labs to build smarter, more accurate health AI — and we need experts who understand population-level data to make it happen. As a Population Health Informaticist, you'll apply your analytical expertise to evaluate, improve, and inform AI systems focused on health outcomes, trends, and disparities across communities.
This is a meaningful opportunity to put your public health and data skills to work on cutting-edge AI projects — fully remote, on your schedule.
• 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 real-world applicability
• Review and assess data pipelines, dashboards, and reporting frameworks used in health surveillance and decision-making
• Identify gaps, errors, or biases in AI outputs related to health trends, disparities, and community-level outcomes
• Provide structured, expert feedback to help AI systems reason more accurately about population health concepts
• Translate complex analytical scenarios into clear, actionable evaluations that improve AI performance
Who You Are
• Experienced working with healthcare, public health, or population-level datasets
• Skilled in data analysis and visualization, including dashboards and reporting tools
• Able to critically evaluate data-driven insights and identify where AI reasoning falls short
• Strong communicator — you can explain complex health data concepts clearly and concisely
• Self-directed and comfortable working independently in an async environment
Nice to Have
• Background in epidemiology, biostatistics, health informatics, or a related field
• Experience with data annotation, data quality assessment, or evaluation frameworks
• Familiarity with public health surveillance systems or population health platforms
• Prior work with AI or machine learning projects in a health context
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 network of experts
• Apply your real-world expertise to work that has meaningful public health implications
• Potential for ongoing work and contract extension
Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research labs to build smarter, more accurate health AI — and we need experts who understand population-level data to make it happen. As a Population Health Informaticist, you'll apply your analytical expertise to evaluate, improve, and inform AI systems focused on health outcomes, trends, and disparities across communities.
This is a meaningful opportunity to put your public health and data skills to work on cutting-edge AI projects — fully remote, on your schedule.
• 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 real-world applicability
• Review and assess data pipelines, dashboards, and reporting frameworks used in health surveillance and decision-making
• Identify gaps, errors, or biases in AI outputs related to health trends, disparities, and community-level outcomes
• Provide structured, expert feedback to help AI systems reason more accurately about population health concepts
• Translate complex analytical scenarios into clear, actionable evaluations that improve AI performance
Who You Are
• Experienced working with healthcare, public health, or population-level datasets
• Skilled in data analysis and visualization, including dashboards and reporting tools
• Able to critically evaluate data-driven insights and identify where AI reasoning falls short
• Strong communicator — you can explain complex health data concepts clearly and concisely
• Self-directed and comfortable working independently in an async environment
Nice to Have
• Background in epidemiology, biostatistics, health informatics, or a related field
• Experience with data annotation, data quality assessment, or evaluation frameworks
• Familiarity with public health surveillance systems or population health platforms
• Prior work with AI or machine learning projects in a health context
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 network of experts
• Apply your real-world expertise to work that has meaningful public health implications
• Potential for ongoing work and contract extension




