Clinical Systems Analyst (AI Training) About the Role At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
Nursing Informatics Specialist
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 nursing professionals to help train and evaluate AI systems built for healthcare. As a Nursing Informatics Specialist at Alignerr, you'll apply your frontline expertise to ensure AI understands real-world clinical workflows, EHR systems, and nursing documentation the way actual nurses do.
This is a unique opportunity to work at the intersection of nursing practice and cutting-edge AI — on your own schedule, from anywhere.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI-generated clinical content for accuracy, safety, and alignment with real nursing workflows
- Review and annotate EHR documentation scenarios, flagging errors or gaps in clinical reasoning
- Translate nursing practice knowledge into structured feedback that improves AI model outputs
- Assess how well AI systems reflect clinical informatics best practices across areas like documentation, data integrity, and care coordination
- Provide expert insight on health IT tools, including EHR platforms such as Epic or Cerner
- Work independently and asynchronously on task-based assignments
Who You Are
- Registered Nurse (RN) or equivalent clinical background with hands-on experience in a healthcare setting
- Familiar with EHR systems and clinical documentation workflows
- Able to analyze clinical scenarios and communicate clear, structured feedback
- Detail-oriented with strong written communication skills
- Self-motivated and comfortable working independently in a remote environment
- No prior AI experience required — your clinical expertise is what matters
Nice to Have
- Experience in clinical informatics, health IT, or nursing informatics roles
- Familiarity with data annotation, quality review, or evaluation processes
- Background in quality improvement, patient safety, or clinical education
- Exposure to health data standards (e.g., HL7, FHIR, SNOMED)
Why Join Us
- Work on cutting-edge AI projects with leading research labs and AI teams
- Fully remote and flexible — set your own hours and work at your own pace
- Freelance perks: autonomy, variety, and global collaboration
- Apply your nursing expertise in a completely new and impactful way
- Contribute to AI that could meaningfully improve how healthcare technology serves patients and clinicians
- Potential for ongoing work and contract extension
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