Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Population Health Informaticist
Remote (Global)
$35 – $75/hr
July 14, 2026
Job description
Population Health Informaticist (AI Training)
About the Role
We're partnering with leading AI research teams to build smarter, more accurate AI systems in the health and public health space. As a Population Health Informaticist, you'll bring your expertise in health data and analytics to help train and evaluate AI models that tackle real-world population health challenges.
Your insights will directly shape how AI understands health trends, disparities, and outcomes — making a meaningful difference at scale.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate and provide expert feedback on AI-generated content related to population health, epidemiology, and public health analytics
- Collect, integrate, and assess population health metrics to identify trends, disparities, and opportunities for improving outcomes
- Review AI outputs for accuracy, clinical relevance, and alignment with established public health frameworks
- Provide structured, actionable feedback to improve AI model performance in health-related domains
- Apply your knowledge of data pipelines, dashboards, and reporting frameworks to assess the quality of AI-generated analytical content
- Translate complex health data insights into clear, well-reasoned evaluations
Who You Are
- Experienced with healthcare, public health, or population-level datasets
- Strong analytical thinker with a solid grasp of health informatics principles
- Skilled in data visualization, dashboards, and reporting tools
- Able to communicate complex data findings clearly and concisely
- Self-motivated and comfortable working independently on a flexible schedule
- Familiar with public health surveillance, health equity, or epidemiological frameworks
Nice to Have
- Experience with data annotation, data quality assessment, or evaluation systems
- Background in clinical informatics, biostatistics, or health policy
- Familiarity with AI evaluation workflows or machine learning concepts
Why Join Us
- Work on cutting-edge AI projects with top research labs and institutions
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that advances AI's role in improving public health
- Potential for ongoing work and contract extension
Compensation by region
Pay varies by where you're based. Each region below is open to applicants in that country only.
Available in 3 regions: pick your country on click.
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