

Alignerr
Population Health Informaticist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Population Health Informaticist on a flexible, fully remote, hourly contract (10–40 hours/week) with a focus on health data analytics. Key skills include experience with healthcare datasets, data visualization, and AI evaluation.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
April 18, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Atlanta, GA
-
🧠 - Skills detailed
#Data Pipeline #AI (Artificial Intelligence) #Data Quality #ML (Machine Learning) #Visualization #Data Integrity #Datasets #Quality Assurance
Role description
Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need population health experts to make it happen. As a Population Health Informaticist, you'll apply your expertise in health data and analytics to evaluate, shape, and improve AI systems that aim to improve outcomes at a community and population level.
This is a fully remote, flexible contract role — work on your own schedule while contributing to AI projects that genuinely matter.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
What You'll Do
• Analyze and evaluate population-level health datasets to identify trends, disparities, and opportunities for intervention
• Assess AI-generated health insights and outputs for accuracy, relevance, and real-world applicability
• Design and review dashboards, data pipelines, and reporting frameworks used in health surveillance and decision-making
• Translate complex analytical findings into clear, actionable feedback that improves AI model performance
• Contribute to data quality evaluation and annotation workflows within population health contexts
Who You Are
• Experienced with healthcare, public health, or population-level datasets
• Strong analytical thinker with hands-on experience in data visualization and reporting tools
• Able to bridge the gap between raw data and meaningful insights for diverse stakeholders
• Detail-oriented with a commitment to accuracy and data integrity
• Self-motivated and comfortable working independently in an asynchronous environment
Nice to Have
• Experience with data annotation, data quality assurance, or evaluation systems
• Background in epidemiology, public health informatics, or health policy
• Familiarity with AI or machine learning workflows in healthcare settings
Why Join Us
• Work on cutting-edge AI projects alongside top research labs and institutions
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Apply your public health expertise to work that has real-world impact
• Potential for ongoing work and contract extension
Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research teams to build smarter, more accurate health AI — and we need population health experts to make it happen. As a Population Health Informaticist, you'll apply your expertise in health data and analytics to evaluate, shape, and improve AI systems that aim to improve outcomes at a community and population level.
This is a fully remote, flexible contract role — work on your own schedule while contributing to AI projects that genuinely matter.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
What You'll Do
• Analyze and evaluate population-level health datasets to identify trends, disparities, and opportunities for intervention
• Assess AI-generated health insights and outputs for accuracy, relevance, and real-world applicability
• Design and review dashboards, data pipelines, and reporting frameworks used in health surveillance and decision-making
• Translate complex analytical findings into clear, actionable feedback that improves AI model performance
• Contribute to data quality evaluation and annotation workflows within population health contexts
Who You Are
• Experienced with healthcare, public health, or population-level datasets
• Strong analytical thinker with hands-on experience in data visualization and reporting tools
• Able to bridge the gap between raw data and meaningful insights for diverse stakeholders
• Detail-oriented with a commitment to accuracy and data integrity
• Self-motivated and comfortable working independently in an asynchronous environment
Nice to Have
• Experience with data annotation, data quality assurance, or evaluation systems
• Background in epidemiology, public health informatics, or health policy
• Familiarity with AI or machine learning workflows in healthcare settings
Why Join Us
• Work on cutting-edge AI projects alongside top research labs and institutions
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Apply your public health expertise to work that has real-world impact
• Potential for ongoing work and contract extension


