

Alignerr
Population Health Informaticist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Population Health Informaticist on an hourly contract, remote, requiring 10–40 hours/week. Key skills include healthcare data experience, data visualization, and familiarity with tools like Tableau and Python. Background in public health or epidemiology preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
April 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Columbus, OH
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🧠 - Skills detailed
#R #Model Evaluation #Data Pipeline #AI (Artificial Intelligence) #Data Quality #ML (Machine Learning) #Visualization #SAS #Tableau #BI (Business Intelligence) #Microsoft Power BI #Python #Datasets #Statistics
Role description
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 data is interpreted accurately, meaningfully, and responsibly.
Your public health and data expertise will directly shape how AI understands population-level trends, health disparities, and evidence-based interventions. This is a rare opportunity to apply your skills at the intersection of health informatics and frontier AI.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
What You'll Do
• Evaluate and annotate AI-generated content related to population health, epidemiology, and public health analytics
• Assess the accuracy, completeness, and clinical relevance of AI outputs involving health metrics, trends, and disparities
• Review and provide structured feedback on data pipelines, dashboards, and reporting frameworks as represented in AI-generated scenarios
• Translate your domain knowledge into clear, actionable feedback that improves how AI reasons about population health challenges
• Work independently and asynchronously on task-based assignments at your own pace
Who You Are
• Hands-on experience working with healthcare, public health, or population-level datasets
• Strong analytical skills with experience in data visualization, dashboards, and health reporting tools
• Ability to evaluate complex health data outputs and identify errors, gaps, or misleading interpretations
• Comfortable communicating technical findings clearly in written form
• Detail-oriented, self-directed, and reliable
Nice to Have
• Experience with data annotation, data quality assessment, or evaluation workflows
• Background in epidemiology, biostatistics, health policy, or public health informatics
• Familiarity with tools such as Tableau, Power BI, SAS, R, or Python for health analytics
• Prior work with AI, machine learning datasets, or model evaluation
Why Join Us
• Work on cutting-edge AI projects with top research labs and teams
• Fully remote and flexible — work on your own schedule, anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work at the intersection of AI and public health
• 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 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 data is interpreted accurately, meaningfully, and responsibly.
Your public health and data expertise will directly shape how AI understands population-level trends, health disparities, and evidence-based interventions. This is a rare opportunity to apply your skills at the intersection of health informatics and frontier AI.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
What You'll Do
• Evaluate and annotate AI-generated content related to population health, epidemiology, and public health analytics
• Assess the accuracy, completeness, and clinical relevance of AI outputs involving health metrics, trends, and disparities
• Review and provide structured feedback on data pipelines, dashboards, and reporting frameworks as represented in AI-generated scenarios
• Translate your domain knowledge into clear, actionable feedback that improves how AI reasons about population health challenges
• Work independently and asynchronously on task-based assignments at your own pace
Who You Are
• Hands-on experience working with healthcare, public health, or population-level datasets
• Strong analytical skills with experience in data visualization, dashboards, and health reporting tools
• Ability to evaluate complex health data outputs and identify errors, gaps, or misleading interpretations
• Comfortable communicating technical findings clearly in written form
• Detail-oriented, self-directed, and reliable
Nice to Have
• Experience with data annotation, data quality assessment, or evaluation workflows
• Background in epidemiology, biostatistics, health policy, or public health informatics
• Familiarity with tools such as Tableau, Power BI, SAS, R, or Python for health analytics
• Prior work with AI, machine learning datasets, or model evaluation
Why Join Us
• Work on cutting-edge AI projects with top research labs and teams
• Fully remote and flexible — work on your own schedule, anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work at the intersection of AI and public health
• Potential for ongoing work and contract extension


