Nursing Informatics Specialist

Alignerr

Sheffield (TX)

Remote

USD 48,000 - 90,000

Part time

15 hours ago
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Job summary

Alignerr Corp. is seeking a Nursing Informatics Specialist to help train AI models by applying frontline nursing knowledge to AI-generated clinical content and workflows.

You will review AI outputs related to EHRs and patient care, identify gaps, and translate clinical workflows into actionable feedback for AI teams. This role supports remote, asynchronous collaboration with flexible hours.

Qualifications

  • RN or equivalent clinical background with hands-on patient care experience.
  • Familiarity with EHR systems and clinical documentation workflows.
  • Detail-oriented with clear written communication.
  • Comfortable working independently and asynchronously.

Responsibilities

  • Apply nursing knowledge to evaluate and improve AI-generated clinical content, responses, and workflows.
  • Review AI outputs related to EHR systems, clinical documentation, and patient care for accuracy, safety, and real-world usability.
  • Identify gaps, errors, or oversimplifications in how AI represents nursing practice and health informatics.
  • Translate complex clinical workflows and nursing logic into clear, structured feedback for AI teams.
  • Assess how well AI handles clinical scenarios, terminology, and documentation standards (Epic, Cerner).
  • Flag clinically unsafe, misleading, or unrealistic outputs and suggest evidence-based improvements.

Skills

RN background
EHR familiarity
Clear written communication
Independent/async work

Tools

Epic
Cerner

Job description

Nursing Informatics Specialist (AI Training)
About The Role

Your clinical expertise is more valuable than ever — not just at the bedside, but in shaping how AI understands healthcare. At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge AI models. As a Nursing Informatics Specialist, you'll bring your frontline nursing knowledge directly to that process — helping AI systems understand real clinical workflows, EHR documentation, and patient care data in ways that only a practicing nurse can.

This is a rare opportunity to step into the AI space without leaving your clinical roots behind.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Apply your nursing knowledge to evaluate and improve AI-generated clinical content, responses, and workflows
  • Review AI outputs related to EHR systems, clinical documentation, and patient care for accuracy, safety, and real-world usability
  • Identify gaps, errors, or oversimplifications in how AI represents nursing practice and health informatics
  • Translate complex clinical workflows and nursing logic into clear, structured feedback that AI teams can act on
  • Assess how well AI handles clinical scenarios, terminology, and documentation standards (e.g., Epic, Cerner)
  • Flag clinically unsafe, misleading, or unrealistic outputs and suggest evidence-based improvements
Who You Are
  • Registered Nurse (RN) or equivalent clinical background with hands‑on patient care experience
  • Familiarity with EHR systems and clinical documentation workflows
  • Strong ability to evaluate clinical accuracy and identify real‑world gaps in AI-generated content
  • Detail‑oriented with clear written communication skills
  • Comfortable working independently and asynchronously
  • No prior AI experience required — your clinical expertise is what matters
Nice to Have
  • Experience in clinical informatics, health IT, or nursing education
  • Background in data annotation, quality review, or clinical evaluation systems
  • Familiarity with EHR platforms such as Epic or Cerner
  • Interest in how AI is transforming healthcare delivery
Why Join Us
  • Work on cutting‑edge AI projects with top research labs and AI teams
  • Fully remote and flexible — work on your own schedule, as much or as little as you want
  • Freelance perks: autonomy, variety, and collaboration with experts across the globe
  • Make a meaningful impact on how AI understands and supports clinical care
  • Potential for ongoing work and contract extension
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