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Nursing Informatics Specialist

Job in Oxford, Oxfordshire, OX1, England, UK
Listing for: Alignerr
Full Time position
Listed on 2026-11-01
Job specializations:
  • Nursing
Salary/Wage Range or Industry Benchmark: 55000 - 83000 GBP Yearly GBP 55000.00 83000.00 YEAR
Job Description & How to Apply Below
Nursing Informatics Specialist (AI Training) 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 experienced Nursing Informatics Specialists to bring real clinical perspective to the development of next-generation healthcare AI. Your deep understanding of nursing workflows, EHR systems, and clinical data will help shape how AI understands, interprets, and supports healthcare environments — making a direct impact on the future of patient care.

  • Organization:
    Alignerr
  • Type:
    Hourly Contract
  • Location:

    Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Evaluate AI-generated clinical content, nursing workflows, and health informatics scenarios for accuracy and real-world applicability
  • Translate frontline nursing knowledge into structured feedback that helps AI systems better understand clinical documentation and EHR processes
  • Identify gaps, errors, or unrealistic outputs in AI-generated healthcare content and suggest improvements
  • Assess and annotate clinical data, workflow descriptions, and informatics concepts using structured evaluation guidelines
  • Work independently and asynchronously on your own schedule
Who You Are
  • Registered Nurse (RN) or equivalent clinical background with experience in clinical informatics or health IT
  • Hands-on experience working with EHR systems such as Epic, Cerner, or similar platforms
  • Strong ability to analyze clinical workflows and translate real-world nursing knowledge into clear, structured feedback
  • Detail-oriented with the ability to evaluate content systematically and consistently
  • Comfortable working independently in a remote, task-based environment
Nice to Have
  • Prior experience with data annotation, data quality, or evaluation workflows
  • Background in clinical documentation improvement or health information management
  • Familiarity with AI systems, large language models, or digital health technologies
Why Join Us
  • Work on cutting-edge AI projects with top healthcare and research labs
  • Fully remote and flexible — work on your own schedule, from anywhere
  • Freelance perks: autonomy, variety, and meaningful work at the intersection of nursing and technology
  • Contribute to AI systems that could genuinely improve clinical care worldwide
  • Potential for ongoing work and contract extension
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