Nursing Informatics Specialist
- Canada
- Remote
- Posted Sep 8, 2026
- 1 position
- Employment type
- Contract
- Experience level
- Mid-level · 2+ years
- Minimum education
- Professional degree
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
This job has expired
This position at Alignerr is no longer accepting applications. The original posting remains below for reference.
Expired Sep 17, 2026
Original job posting
Evaluate AI-generated clinical content and informatics outputs for accuracy, safety, and real-world applicability. Provide expert feedback to improve AI reasoning regarding nursing workflows, EHR interactions, and patient care.
Job details
Nursing Informatics Specialist (AI Training) About The Role Your clinical experience is more valuable than you know — especially to AI. We're looking for Nursing Informatics Specialists to help evaluate and improve AI systems designed for healthcare settings. You'll apply your real-world nursing knowledge to assess how well AI understands clinical workflows, EHR documentation, and health informatics concepts — and help make it better. This is a fully remote, flexible contract role working alongside some of the world's leading AI research teams. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Evaluate AI-generated clinical content and informatics outputs for accuracy, safety, and real-world applicability Review how AI represents nursing workflows, EHR interactions, and clinical documentation practices Identify gaps, errors, or unsafe assumptions in AI responses related to patient care and health IT Provide structured, expert feedback to help AI systems better reflect frontline nursing realities Assess AI reasoning around topics like care coordination, data quality, and system usability Work independently and asynchronously on your own schedule Who You Are Registered Nurse (RN) or equivalent clinical background with experience in clinical informatics or health IT Hands-on experience with EHR systems such as Epic, Cerner, or similar platforms Strong ability to analyze clinical workflows and documentation practices Comfortable evaluating written content for accuracy and clinical soundness Detail-oriented with clear written communication skills No prior AI experience required — your nursing expertise is what matters Nice to Have Experience in data annotation, data quality review, or clinical evaluation systems Background in nursing education, quality improvement, or health informatics leadership Familiarity with clinical decision support tools or informatics governance Why Join Us Work on cutting-edge AI projects with top-tier research labs and organizations Fully remote and flexible — work on your schedule, on your terms Freelance perks: autonomy, variety, and collaboration with a global expert community Put your clinical expertise to work in a brand-new, high-impact way Potential for ongoing work and contract extension
What you’ll do
Evaluate AI-generated clinical content and informatics outputs for accuracy, safety, and real-world applicability. Provide expert feedback to improve AI reasoning regarding nursing workflows, EHR interactions, and patient care.
Requirements
Requires a Registered Nurse (RN) or equivalent clinical background with experience in clinical informatics and hands-on use of EHR platforms like Epic or Cerner. Candidates must be able to analyze clinical workflows and communicate findings clearly in writing.
Benefits
• Autonomy • Variety • Collaboration with a global expert community
Listed skills
- written communication · Preferred
- Quality Improvement · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Clinical Informatics
- Health IT
- EHR Systems
- Clinical Workflow Analysis
- Clinical Documentation
- Data Annotation
- Data Quality Review
- Clinical Evaluation
- Care Coordination
- System Usability
- Written Communication
- Nursing Education
- Quality Improvement
- Informatics Governance
- Clinical Decision Support Tools
Job areas
- Healthcare
- Technology
- Data & Analytics
- Science & Research
- Software
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