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Nursing informatics specialist

Manchester
Alignerr
€30,000 a year
Posted: 19 April
Offer 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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