

Alignerr
Population Health Informaticist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Population Health Informaticist on a remote, hourly contract (10–40 hours/week) with a focus on evaluating AI-generated health data. Key skills include healthcare analytics, data visualization, and familiarity with epidemiological concepts.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
April 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, CO
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🧠 - Skills detailed
#Visualization #Datasets #ML (Machine Learning) #AI (Artificial Intelligence) #Statistics #Data Pipeline #Quality Assurance #Data Analysis #Data Quality
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, analytics, and public health reasoning are represented accurately and effectively in next-generation AI systems.
This is a unique opportunity to apply your public health and informatics skills in a new arena, contributing to AI tools that could one day support better health decisions at scale.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
What You'll Do
• Evaluate and improve AI-generated content related to population health, epidemiology, and health informatics
• Review data analysis scenarios, health metrics, and public health strategies for accuracy and real-world applicability
• Identify gaps, errors, or oversimplifications in AI outputs related to health disparities, surveillance, and outcome modeling
• Provide structured, expert feedback that helps AI systems reason more accurately about population-level health challenges
• Contribute to the design and evaluation of dashboards, data pipelines, and reporting framework scenarios used in AI training
• Work independently and asynchronously on task-based assignments that fit your schedule
Who You Are
• Experienced with healthcare, public health, or population-level datasets
• Strong analytical background with skills in data visualization and reporting
• Able to translate complex health data concepts into clear, actionable insights
• Comfortable evaluating technical health content for accuracy and quality
• Detail-oriented, reliable, and self-motivated
Nice to Have
• Experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with epidemiological surveillance or community health initiatives
• Background in biostatistics, health informatics, or public health policy
• Prior exposure to AI or machine learning workflows
Why Join Us
• Work on cutting-edge AI projects with top-tier research labs and teams
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and meaningful global collaboration
• Contribute domain expertise that directly shapes how AI understands population 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, analytics, and public health reasoning are represented accurately and effectively in next-generation AI systems.
This is a unique opportunity to apply your public health and informatics skills in a new arena, contributing to AI tools that could one day support better health decisions at scale.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
What You'll Do
• Evaluate and improve AI-generated content related to population health, epidemiology, and health informatics
• Review data analysis scenarios, health metrics, and public health strategies for accuracy and real-world applicability
• Identify gaps, errors, or oversimplifications in AI outputs related to health disparities, surveillance, and outcome modeling
• Provide structured, expert feedback that helps AI systems reason more accurately about population-level health challenges
• Contribute to the design and evaluation of dashboards, data pipelines, and reporting framework scenarios used in AI training
• Work independently and asynchronously on task-based assignments that fit your schedule
Who You Are
• Experienced with healthcare, public health, or population-level datasets
• Strong analytical background with skills in data visualization and reporting
• Able to translate complex health data concepts into clear, actionable insights
• Comfortable evaluating technical health content for accuracy and quality
• Detail-oriented, reliable, and self-motivated
Nice to Have
• Experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with epidemiological surveillance or community health initiatives
• Background in biostatistics, health informatics, or public health policy
• Prior exposure to AI or machine learning workflows
Why Join Us
• Work on cutting-edge AI projects with top-tier research labs and teams
• Fully remote and flexible — work on your own schedule, from anywhere
• Freelance perks: autonomy, variety, and meaningful global collaboration
• Contribute domain expertise that directly shapes how AI understands population health
• Potential for ongoing work and contract extension



