Back to search
Alignerr Linkedin · Posted 26d ago

Population Health Informaticist

Tampa, Florida, United States

Linkedin
Continue to application Add your email once, then Caio opens the original posting.

Indexed description

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
Free. 20 seconds. No password. See every match in this search.

Create a free Caio profile to unlock more results and save your role and location preferences.

Unlock free search
Want help applying to roles like this? Search Caio for free. If the repetitive CV tweaking gets heavy, Daniel can help set up Caio Agent.
Ask about Agent