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
