Population Health Informaticist
Alignerr · New York, NY · 6 days ago
RemoteRemoteAnalystContract
About the Role
At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. We're looking for Population Health Informaticists to bring their expertise to a field where data science meets public health — and where your insights will directly shape how AI understands and reasons about population-level health challenges.
This is a unique opportunity to apply your analytical skills to meaningful AI projects, working flexibly and remotely on your own schedule.
What You'll Do
- Evaluate and improve AI-generated content related to population health data, epidemiology, and public health analytics
- Apply your expertise to assess the accuracy, depth, and quality of AI outputs covering health metrics, disparities, and intervention strategies
- Identify gaps, errors, or oversimplifications in AI reasoning around community health trends and outcomes
- Provide structured, expert feedback that helps AI systems better understand population health concepts
- Work independently and asynchronously — on a schedule that suits you
Who You Are
- Experience working with healthcare, public health, or population-level datasets
- Strong analytical skills with the ability to evaluate complex health data and interpret trends
- Familiarity with data visualization, dashboards, or reporting tools used in public health contexts
- Able to translate complex data concepts into clear, actionable insights
- Detail-oriented and comfortable providing structured written feedback
Nice to Have
- Background in epidemiology, biostatistics, health informatics, or a related field
- Experience with data annotation, quality assessment, or evaluation frameworks
- Familiarity with population health management platforms or surveillance systems
Why Join Us
- Work on cutting-edge AI projects with top research labs and institutions
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global expert community
- Contribute to AI that could meaningfully improve how health systems understand and serve populations
- Potential for ongoing work and contract extension