Overview
Population Health Informaticist Jobs in Tampa, FL at Alignerr
Title: Population Health Informaticist
Company: Alignerr
Location: Tampa, FL
Population Health Informaticist (AI Training)
About The Role
We're partnering with leading AI research labs to build smarter, more accurate health AI — and we need experienced population health professionals to make it happen. As a Population Health Informaticist, you'll apply your expertise to evaluate, improve, and shape how AI understands and reasons about large-scale health data.
Your domain knowledge will directly influence AI systems that support public health decision-making, clinical research, and community health strategy. This is a rare opportunity to work at the intersection of healthcare analytics and cutting-edge AI — entirely on your own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI-generated content and outputs related to population health, epidemiology, and health disparities for accuracy and clinical relevance
- Review and assess AI-produced analyses involving health metrics, surveillance data, and community health trends
- Identify errors, gaps, or misleading interpretations in AI reasoning about public health topics
- Provide structured, expert feedback to help AI systems produce more reliable and actionable health insights
- Apply your knowledge of health data pipelines, dashboards, and reporting frameworks to assess AI-generated solutions
- Translate complex health informatics concepts into clear, grounded evaluations
Who You Are
- Experienced working with healthcare, public health, or population-level datasets
- Skilled in health data analysis, visualization, and reporting — including dashboards and surveillance tools
- Able to critically assess whether data-driven health insights are accurate, complete, and appropriately interpreted
- Comfortable working independently and asynchronously on task-based assignments
- Strong written communicator who can articulate nuanced feedback clearly
Nice to Have
- Background in epidemiology, biostatistics, or public health informatics
- Experience with data annotation, data quality assessment, or evaluation frameworks
- Familiarity with AI tools or language model evaluation workflows
- Knowledge of health equity, social determinants of health, or community health interventions
Why Join Us
- Work on meaningful AI projects with real-world public health implications
- Fully remote and flexible — set your own hours and workload
- Collaborate with a global network of domain experts and AI researchers
- Freelance autonomy with the backing of top-tier AI research teams
- Ongoing contract potential as projects expand