Nursing Informatics Specialist

Alignerr Corp.

Boston (MA)

Remote

USD 55,000 - 110,000

Part time

17 hours ago
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Benefits offered by this job

Remote work
Flexible schedule
Freelance perks: autonomy and variety

Job summary

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to review and evaluate AI-generated clinical content, focusing on nursing workflows and EHR-related scenarios. You will translate clinical needs into clear feedback for AI design and work independently on flexible, task-based assignments.

The role leverages RN clinical expertise to ensure accuracy and real-world applicability of AI training data, with remote scheduling and potential for ongoing collaboration within healthcare IT

Qualifications

  • Active RN license and clinical experience
  • Familiarity with health IT and nursing informatics
  • Experience evaluating AI or clinical content preferred

Responsibilities

  • Review AI-generated clinical content for accuracy and applicability
  • Identify gaps or unrealistic outputs in AI-generated scenarios
  • Translate workflows into structured feedback for AI design
  • Assess health information system concepts against clinical standards
  • Provide detailed written evaluations using guidelines and rating frameworks
  • Work independently on task-based assignments without mandatory meetings

Skills

RN
EHR systems
Clinical workflows
Informatics principles
Analytical skills
Written communication

Education

RN licensed

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 experienced Registered Nurses with health informatics backgrounds to help train and evaluate AI systems being built for the healthcare space. Your frontline expertise will directly shape how AI understands clinical workflows, EHR systems, and nursing documentation.

This is a fully remote, flexible contract role that lets you apply your nursing knowledge in a new and impactful way — on your own schedule.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Review and evaluate AI-generated content related to clinical workflows, EHR systems, and nursing documentation for accuracy and real-world applicability
  • Apply your knowledge of nursing practice to identify gaps, errors, or unrealistic outputs in AI-generated clinical scenarios
  • Translate nursing workflows and clinical needs into clear, structured feedback that improves AI system design
  • Assess health information system concepts and flag inconsistencies with established clinical standards
  • Provide detailed written evaluations using structured guidelines and rating frameworks
  • Work independently and asynchronously — no meetings required
Who You Are
  • Registered Nurse (RN) or equivalent clinical background with hands-on patient care experience
  • Experience working with EHR systems such as Epic, Cerner, or similar platforms
  • Solid understanding of clinical documentation workflows and nursing informatics principles
  • Strong analytical skills — able to spot what looks wrong in a clinical or technical context
  • Clear, precise written communication skills
  • Self-motivated and comfortable working independently on task-based assignments
Nice to Have
  • Prior experience in clinical informatics, health IT, or healthcare data roles
  • Background in data annotation, content evaluation, or quality assurance
  • Familiarity with AI tools or experience evaluating AI-generated content
  • Nursing informatics certification (e.g., RN-BC in Nursing Informatics)
Why Join Us
  • Work on cutting-edge AI projects with leading research labs and AI teams
  • Fully remote and flexible — work when and how much you want
  • Freelance perks: autonomy, variety, and the ability to work around your current schedule
  • Use your clinical expertise in a high-impact, forward-looking field
  • Potential for ongoing work and contract extension
  • Be part of shaping how AI understands and supports healthcare — a contribution that matters
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