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Job description
About the Role
We are working with leading AI research groups to improve the accuracy and usefulness of AI systems for healthcare and public health use cases. In this contract role, you will use your population health and analytics background to help train and assess AI models focused on real-world public health problems.
Your expertise will help influence how AI interprets health patterns, inequities, and outcomes at scale.
Role Details
- Company: Alignerr
- Engagement type: Hourly contract
- Work mode: Fully remote
- Time commitment: 10 to 40 hours per week
What You Will Do
- Review AI-created responses connected to population health, epidemiology, and public health analytics, and provide expert input.
- Gather, combine, and evaluate population health indicators to surface trends, disparities, and areas where outcomes can be improved.
- Check AI outputs for correctness, practical clinical value, and consistency with accepted public health frameworks.
- Deliver clear, structured feedback that can be used to refine model performance in healthcare-related topics.
- Use knowledge of data pipelines, dashboards, and reporting structures to judge the quality of AI-generated analytical work.
- Convert complex health data findings into concise, logical assessments.
Who We Are Looking For
- Hands-on experience working with healthcare, public health, or population-scale datasets.
- Strong analytical ability with a good understanding of health informatics principles.
- Comfort with dashboards, data visualization, and reporting platforms.
- Ability to explain complicated findings in a clear and concise manner.
- Self-directed approach and comfort working independently on a flexible schedule.
- Familiarity with public health surveillance, health equity, or epidemiological frameworks.
Nice to Have
- Exposure to data annotation, data quality review, or evaluation systems.
- Experience in clinical informatics, biostatistics, or health policy.
- Understanding of AI evaluation workflows or machine learning fundamentals.
Why Join
- Opportunity to contribute to advanced AI projects alongside top research labs and institutions.
- Remote-first setup with a flexible schedule you can manage independently.
- Freelance-style benefits such as autonomy, varied work, and global collaboration.
- Meaningful work that helps improve how AI supports public health outcomes.
- Possibility of continued assignments and contract renewal.