Remote | Registered Nurse — $60–$70/hour

24-Mag•New York, NY
•Remote

About The Position

This remote consulting opportunity is for experienced Registered Nurses to contribute clinical expertise to AI training and evaluation initiatives. The work combines inpatient bedside nursing knowledge with structured medical record review, clinical reasoning, annotation, and healthcare data quality evaluation. Professionals review inpatient documentation and records, assess AI-generated clinical information, and evaluate the accuracy, completeness, consistency, safety, and appropriateness of healthcare content. Prior experience with AI training projects is not required. Assignments may involve reviewing nursing and progress notes, patient care plans, physician orders, laboratory findings, discharge summaries, patient assessments, nursing interventions, treatment documentation, and care coordination records. Deliverables include structured clinical annotations, medical accuracy assessments, and detailed written feedback. The engagement is freelance/contract, fully remote, and limited to the United States. Compensation is $60–$70 per hour. The posting lists 100 available openings.

Requirements

  • Professional qualification as a Registered Nurse with practical experience in clinical patient care.
  • Based in the United States and authorised to practise as a Registered Nurse in the U.S.
  • Strong understanding of inpatient clinical care, nursing assessments, and patient management.
  • Experience reviewing nursing notes, progress notes, patient care plans, and related medical documentation.
  • Familiarity with physician orders, laboratory results, and discharge documentation.
  • Understanding of hospital workflows and inpatient care coordination.
  • Ability to apply professional nursing judgment and relevant standards of care when assessing clinical information.
  • Knowledge of nursing standards of care and clinical documentation practices.
  • Ability to identify inaccurate, incomplete, or inconsistent information in patient records.
  • Strong analytical reasoning, clinical judgment, and attention to detail.
  • Ability to evaluate medical information for clinical accuracy, safety, and appropriateness.
  • Excellent written communication skills and the ability to collaborate with multidisciplinary stakeholders.
  • Ability to follow structured evaluation guidelines and maintain consistent review standards.
  • Strong organisational skills and ability to work independently on remote clinical evaluation assignments.

Nice To Haves

  • Recent inpatient bedside nursing experience.
  • Broad clinical experience across multiple inpatient services and patient populations.
  • Experience in an academic medical centre, large teaching hospital, major health system, or complex inpatient care environment.
  • Familiarity with complex patient cases, multidisciplinary care teams, and advanced inpatient workflows.
  • Experience with electronic health records and clinical data review.
  • Previous experience with clinical annotation, structured medical record review, documentation review, or healthcare data quality assurance.
  • Prior annotation experience accompanied by positive performance evaluations.

Responsibilities

  • Review inpatient clinical documentation, including nursing notes, progress notes, and patient care plans.
  • Evaluate physician orders, laboratory findings, and discharge summaries for clinical accuracy and completeness.
  • Check whether documented patient information is consistent with the underlying medical record, and identify missing, incorrect, or contradictory information.
  • Annotate medical records and clinical content according to established project guidelines.
  • Validate patient data and supporting documentation for accuracy, consistency, and relevance to documented clinical circumstances.
  • Evaluate AI-generated clinical outputs for accuracy, safety, and appropriateness across inpatient scenarios.
  • Assess clinical reasoning related to patient assessments, nursing interventions, care coordination, and realistic inpatient workflows.
  • Identify unsupported clinical conclusions, incomplete assessments, inappropriate recommendations, and documentation issues.
  • Review AI-generated healthcare content against clinical evaluation guidelines and provide structured recommendations for improvement.
  • Prepare clear written feedback explaining clinical findings, documentation issues, and recommended corrections.
  • Communicate nursing perspectives and collaborate with multidisciplinary project stakeholders to clarify requirements and resolve ambiguities.
  • Maintain accuracy, attention to detail, and professional communication across assigned deliverables.
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