Nursing Informatics Specialist

Alignerr Corp.

United States

Remote

USD 55,000 - 96,000

Full time

2 days ago
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Job summary

Alignerr is seeking a Nursing Informatics Specialist (AI Training) to evaluate and improve AI-driven clinical content and EHR workflows. You will apply hands-on nursing experience to ensure safety, accuracy and real-world relevance of AI outputs, working asynchronously on a remote contract.

You’ll review AI-generated clinical documentation, provide detailed feedback, and translate frontline nursing knowledge into actionable insights that inform health IT design and decision-making.

Qualifications

  • Nursing background with clinical practice experience.
  • Ability to analyse AI outputs for safety and accuracy.
  • Strong written communication and attention to detail.
  • Self-motivated and comfortable working independently.

Responsibilities

  • Review AI-generated clinical content, EHR workflows and informatics outputs for accuracy.
  • Assess whether AI responses reflect evidence-based practice.
  • Identify gaps or unrealistic assumptions in AI designs and documentation.
  • Provide structured feedback to improve AI quality in clinical informatics contexts.
  • Translate frontline nursing knowledge into actionable insights for AI handling of health data.
  • Work independently on schedule, asynchronously.

Skills

Nursing expertise
Analytical skills
Written communication
Independent work

Tools

Epic
Cerner

Job description

Nursing Informatics Specialist (AI Training)

About The Role

Your clinical experience is more valuable than you know — especially to the future of AI in healthcare.

We're looking for Nursing Informatics Specialists to help evaluate, improve, and inform AI systems being built for clinical and health IT environments. You'll bring real-world nursing knowledge to the table, helping AI understand how healthcare actually works — from EHR documentation to clinical decision‑making workflows.

This is a fully remote, flexible contract role with some of the world's leading AI research labs.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Review and evaluate AI-generated clinical content, EHR workflows, and health informatics outputs for accuracy and real-world applicability
  • Apply your nursing expertise to assess whether AI responses reflect safe, evidence‑based clinical practice
  • Identify gaps, errors, or unrealistic assumptions in AI-generated healthcare documentation and system designs
  • Provide structured, detailed feedback to improve AI quality in clinical informatics contexts
  • Translate frontline nursing knowledge into actionable insights that shape how AI handles health data and clinical workflows
  • Work independently and asynchronously on your own schedule
Who You Are
  • Registered Nurse (RN) or equivalent clinical background with hands‑on patient care experience
  • Familiarity with EHR systems such as Epic, Cerner, or similar platforms
  • Experience with clinical documentation workflows and health information systems
  • Strong analytical skills — able to spot when clinical information is inaccurate, incomplete, or unsafe
  • Clear written communication skills and attention to detail
  • Self‑motivated and comfortable working independently on task‑based assignments
Nice to Have
  • Background or certification in clinical informatics or health IT
  • Experience with data annotation, quality assurance, or evaluation workflows
  • Familiarity with nursing informatics standards and frameworks
  • Prior involvement with AI, digital health, or health technology projects
Why Join Us
  • Work on cutting‑edge AI projects with top research labs shaping the future of healthcare
  • Fully remote and flexible — work on your own schedule, from anywhere
  • Freelance perks: autonomy, variety, and meaningful work that uses your clinical expertise
  • Collaborate with a global community of healthcare and AI professionals
  • Potential for ongoing work and contract extension
  • Make a direct impact on how AI understands and supports nursing and clinical care
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