Nursing Informatics Specialist

Alignerr

Birmingham

Remote

GBP 34,000 - 83,000

Full time

22 hours ago
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Job summary

Alignerr Corp. is seeking a Nursing Informatics Specialist to review AI-generated clinical content and EHR outputs, ensuring accuracy and safety for real-world practice.

You’ll apply frontline nursing knowledge to evaluate AI recommendations, identify gaps, and provide actionable feedback to improve healthcare AI systems. This is a fully remote freelance role with flexible hours, suitable for a nurse with informatics experience.

Qualifications

  • Registered nurse or equivalent clinical background.
  • Hands-on experience with EHR systems (Epic or Cerner).
  • Strong knowledge of clinical documentation workflows.
  • Ability to critically evaluate AI outputs against real-world practice.

Responsibilities

  • Review and evaluate AI-generated clinical content, documentation, and EHR-related outputs for accuracy and real-world applicability.
  • Apply nursing expertise to assess whether AI responses reflect safe, evidence-based clinical workflows.
  • Identify gaps, inaccuracies, or unsafe recommendations in AI outputs related to nursing practice.
  • Provide structured, detailed feedback that helps AI systems better understand clinical informatics and documentation needs.
  • Translate complex nursing workflow knowledge into clear, actionable evaluations.
  • Work independently and asynchronously on your own schedule.

Skills

RN/Clinician
EHR systems
Clinical informatics
Documentation workflows

Job description

Nursing Informatics Specialist (AI Training)

Your clinical experience is more valuable than you think - beyond the bedside. We're looking for Nursing Informatics Specialists to help evaluate and improve AI systems designed for healthcare workflows, clinical documentation, and electronic health records.

At Alignerr, we partner with the world's leading AI research teams to build cutting-edge models. Your frontline nursing knowledge will directly shape how AI understands and supports real-world clinical practice - making healthcare AI safer, smarter, and more useful for nurses and patients alike.

About The Role
  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10-40 hours/week
What You'll Do
  • Review and evaluate AI-generated clinical content, documentation, and EHR-related outputs for accuracy and real-world applicability
  • Apply your nursing expertise to assess whether AI responses reflect safe, evidence-based clinical workflows
  • Identify gaps, inaccuracies, or unsafe recommendations in AI outputs related to nursing practice
  • Provide structured, detailed feedback that helps AI systems better understand clinical informatics and documentation needs
  • Translate complex nursing workflow knowledge into clear, actionable evaluations
  • 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 or Cerner
  • Strong understanding of clinical documentation workflows and nursing practice standards
  • Ability to critically evaluate AI outputs against real-world clinical expectations
  • Detail-oriented with clear written communication skills
  • No prior AI experience required - your clinical knowledge is what matters
Nice to Have
  • Experience in clinical informatics, health IT implementation, or EHR optimization
  • Background in data annotation, quality review, or evaluation systems
  • Familiarity with interoperability standards (e.g., HL7, FHIR)
  • Informatics certification (e.g., ANCC RN-BC in Nursing Informatics)
Why Join Us
  • Work on cutting-edge AI projects with top healthcare and research organizations
  • Fully remote and flexible - work on your own schedule, as much or as little as you want
  • Freelance perks: autonomy, variety, and global collaboration
  • Contribute to meaningful work that improves AI for clinicians and patients worldwide
  • Exposure to advanced large language models (LLMs) and how they're trained for healthcare
  • Potential for ongoing work and contract extension
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