Nursing Informatics Specialist

Alignerr Corp.

Toronto

Remote

CAD 76,000 - 103,000

Part time

31 hours ago
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Benefits offered by this job

Fully remote
Flexible schedule
Contract freelance

Job summary

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to integrate clinical nursing expertise into AI systems for healthcare. You will help ensure AI aligns with real-world workflows, documentation, and patient care, sitting at the intersection of frontline nursing and cutting-edge AI from a remote setting.

This hourly contract role emphasizes independent work, flexible hours, and collaboration with research teams to improve AI model quality and patient safety outcomes.

Qualifications

  • RN or equivalent clinical background with informatics exposure.
  • Hands-on familiarity with EHR systems such as Epic or Cerner.
  • Strong understanding of nursing documentation workflows.
  • Ability to analyze AI outputs and provide clear feedback in writing.
  • Detail-oriented and capable of independent structured work.
  • No prior AI experience required; clinical expertise is key.

Responsibilities

  • Evaluate AI-generated clinical content for accuracy and safety.
  • Review AI interpretation of EHR workflows and nursing care processes.
  • Identify gaps or unsafe assumptions in AI responses.
  • Translate clinical experience into actionable feedback for model improvement.
  • Flag issues with patient data concepts and care coordination.
  • Work independently and asynchronously on your schedule.

Skills

Nursing informatics
EHR familiarity
Critical thinking
Independent worker

Education

RN or equivalent

Tools

Epic
Cerner

Job description

Nursing Informatics Specialist (AI Training)
About The Role

Your clinical knowledge is more valuable than you think — beyond the bedside. We're looking for Nursing Informatics Specialists to help evaluate and improve AI systems being developed for healthcare environments. You'll bring real-world nursing expertise to the table, helping ensure that AI understands clinical workflows, documentation, and patient care the way a nurse actually does.

This is a unique opportunity to sit at the intersection of frontline nursing and cutting-edge AI — without leaving your home.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Evaluate AI-generated clinical content and health IT outputs for accuracy, safety, and alignment with real nursing practice
  • Review and assess how AI interprets EHR workflows, clinical documentation, and nursing care processes
  • Identify gaps, errors, or unsafe assumptions in AI responses related to nursing informatics
  • Translate your clinical experience into structured, actionable feedback that improves AI model quality
  • Flag issues with how AI handles patient data concepts, care coordination, and clinical decision support
  • Work independently and asynchronously on your own schedule
Who You Are
  • Registered Nurse (RN) or equivalent clinical background with experience in informatics or health IT
  • Hands-on familiarity with EHR systems such as Epic, Cerner, or similar platforms
  • Strong understanding of clinical documentation workflows and nursing care standards
  • Able to analyze AI outputs critically and communicate feedback clearly in writing
  • Detail-oriented and comfortable working independently on structured tasks
  • No prior AI experience required — your clinical expertise is what matters
Nice to Have
  • Background in clinical informatics, health data, or systems implementation
  • Experience with data annotation, quality review, or evaluation frameworks
  • Familiarity with clinical decision support tools or population health platforms
Why Join Us
  • Work on cutting-edge AI projects with leading research labs and teams
  • Fully remote and flexible — work when and how much suits you
  • Apply your nursing expertise in a brand-new way without leaving home
  • Freelance perks: autonomy, variety, and global collaboration
  • Contribute to healthcare AI that could meaningfully improve patient safety and care quality
  • Potential for ongoing work and contract extension
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