Nursing Informatics Specialist (AI Training)
About The Role
Your clinical expertise is more valuable than ever — and not just at the bedside. We're looking for experienced Registered Nurses and clinical informatics professionals to help train and improve AI systems designed for healthcare settings. Your real-world knowledge of nursing workflows, EHR systems, and clinical documentation will directly shape how AI understands and supports patient care.
This is a unique opportunity to step into the AI space without leaving your nursing roots behind — and to make a lasting impact on the future of healthcare technology.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and evaluate AI-generated clinical content for accuracy, safety, and alignment with real-world nursing workflows
- Apply your EHR knowledge (Epic, Cerner, or similar) to assess how well AI understands clinical documentation and health information systems
- Identify gaps, errors, or unrealistic outputs in AI responses related to nursing practice and informatics
- Provide structured, expert feedback to help AI developers improve model quality and clinical relevance
- Translate frontline nursing experience into actionable insights that enhance AI performance in healthcare contexts
- 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 clinical informatics, health IT, or EHR systems (Epic, Cerner, or similar)
- Comfortable analyzing clinical workflows and identifying documentation inefficiencies or inaccuracies
- Strong written communication skills and attention to detail
- Self-motivated and able to work independently with minimal supervision
- No prior AI experience required — your clinical expertise is what matters
Nice to Have
- Formal background or certification in nursing informatics (e.g., ANCC Informatics Nursing certification)
- Experience with data annotation, quality review, or clinical decision support tools
- Familiarity with clinical data standards (HL7, FHIR, ICD coding)
- Experience in quality improvement, care coordination, or clinical education
Why Join Us
- Work on cutting-edge AI projects in partnership with leading AI research labs
- Fully remote and flexible — complete work on your own schedule
- Apply your nursing knowledge in an entirely new and high-impact way
- Collaborate with a global community of healthcare and technology professionals
- Contribute to AI that could improve patient outcomes for millions of people
- Potential for ongoing work and contract extension
