Alignerr
Nursing Informatics Specialist
Company Description
We're looking for experts to help train better AI. At Alignerr, we offer paid, flexible projects for writers, coders, and subject matter experts to refine and align advanced artificial intelligence. Work when you want, where you want. Apply today at Alignerr.com or through our open Job Postings.
Job Description
Your clinical knowledge is more valuable than you think — beyond the bedside. We're looking for experienced nurses and clinical informatics professionals to help evaluate and improve AI systems designed for healthcare environments. Your real-world perspective on nursing workflows, EHR systems, and patient documentation will directly shape how AI understands and supports clinical practice. This is a unique opportunity to influence the future of healthcare technology while working fully remotely on your own schedule. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week
Requirements
Registered Nurse (RN) or equivalent clinical background with hands-on experience in nursing informatics or health IT Familiar with EHR platforms such as Epic, Cerner, or similar systems Strong understanding of clinical documentation workflows and nursing care processes Able to critically evaluate content and communicate feedback clearly in writing Detail-oriented, self-motivated, and comfortable working independently No prior AI experience required — your clinical expertise is what matters Nice to Have: Experience with data annotation, quality assurance, or clinical evaluation systems Background in nursing education, clinical training, or health informatics consulting Familiarity with interoperability standards such as HL7 or FHIR
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Responsibilities
Evaluate AI-generated clinical content, nursing workflows, and health informatics outputs for accuracy, safety, and real-world applicability Identify gaps, errors, or unrealistic scenarios in AI responses related to EHR systems, clinical documentation, and patient care processes Provide structured, expert feedback on how well AI models reflect actual nursing practice and informatics standards Review and annotate clinical data scenarios, flagging inaccuracies or workflow misrepresentations Suggest improvements that align AI outputs with evidence-based nursing and informatics best practices Work independently and asynchronously on task-based assignments
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