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 Population Health Informaticists to apply their expertise to AI projects focused on improving how AI understands and reasons about population-level health data, trends, and interventions.
Your domain knowledge will directly shape how AI systems handle real-world public health challenges — from identifying health disparities to supporting data-driven decision-making at scale.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate and improve AI-generated analyses involving population health metrics, epidemiological trends, and health disparities
- Review and validate AI outputs related to public health data pipelines, dashboards, and reporting frameworks
- Identify gaps, inaccuracies, or missed opportunities in AI-generated population health strategies and recommendations
- Provide structured expert feedback to help AI systems reason more accurately about health outcomes at community and population scale
- Work independently and asynchronously on your own schedule
Who You Are
- Experienced working with healthcare, public health, or population-level datasets
- Strong analytical skills with a solid understanding of health metrics, surveillance systems, and epidemiological methods
- Comfortable translating complex data insights into clear, actionable assessments
- Skilled in data visualization, dashboards, or health reporting frameworks
- Detail-oriented and able to follow structured evaluation guidelines
- No prior AI experience required — your public health expertise is what matters
Nice to Have
- Experience with data annotation, data quality assessment, or evaluation workflows
- Background in public health informatics, biostatistics, or health policy
- Familiarity with tools like Tableau, Power BI, or population health platforms
Why Join Us
- Work on cutting-edge AI projects with top research labs and teams
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that helps AI better understand and support public health
- Potential for ongoing work and contract extension