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

24-Mag; EE. UU.; A distancia; USD 83.000 - 96.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Descripción de la vacante

24-Mag invites experienced Registered Nurses to join a fully remote consulting opportunity focused on inpatient clinical care, nursing documentation, medical record review, and AI training evaluation.

You will review records, annotate content, and assess AI-generated outputs for accuracy and safety, leveraging bedside nursing judgment. Prior AI experience is not required.

Formación

• Licensed Registered Nurse (RN) with practical clinical experience.
• Experience reviewing inpatient nursing notes, progress notes, care plans, and related documentation.
• Familiarity with physician orders, labs, and discharge documentation.

Responsabilidades

• Review inpatient documentation to ensure accuracy and completeness.
• Annotate medical records according to project guidelines.
• Evaluate AI-generated clinical information for safety and relevance.
• Identify missing or conflicting information in patient records.
• Provide structured feedback to improve AI training datasets.

Conocimientos

Nursing judgment

Clinical documentation

Medical record review

Clinical reasoning

Attention to detail

Educación

RN license

Herramientas

EHR systems

AI evaluation tools

Descripción del empleo

We are sharing a specialised remote consulting opportunity for experienced Registered Nurses with strong expertise in inpatient clinical care, nursing documentation, medical record review, clinical judgment, and healthcare quality assurance to contribute their professional knowledge to advanced AI training and evaluation initiatives.

Selected professionals will review and annotate inpatient medical records, evaluate AI-generated clinical information, and assess the accuracy, completeness, and appropriateness of healthcare documentation. The work combines practical bedside nursing experience with structured chart review, clinical reasoning, and data quality evaluation to improve how advanced AI systems interpret patient information and assess complex inpatient care scenarios. Prior experience with AI training projects is not required.

Key Responsibilities

Inpatient Clinical Documentation & Record Review

• 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.
• Assess whether documented patient information is consistent with the underlying medical record.
• Identify missing, incorrect, or contradictory information within inpatient documentation.
• Apply professional nursing judgment to support accurate medical data review and annotation.

Clinical Annotation & Healthcare Data Validation

• Annotate medical records and clinical content according to established project guidelines.
• Review patient data for accuracy, consistency, and relevance to documented clinical circumstances.
• Apply knowledge of inpatient nursing practices to validate clinical information and supporting documentation.
• Identify discrepancies involving care plans, treatment orders, patient assessments, and clinical observations.
• Contribute high-quality clinical annotations that support reliable AI training and evaluation datasets.

Nursing Judgment & Patient Safety Evaluation

• Evaluate AI-generated clinical outputs for accuracy, safety, and appropriateness across inpatient scenarios.
• Apply bedside nursing judgment and relevant standards of care to assess medical information.
• Review clinical reasoning involving patient assessments, nursing interventions, and care coordination.
• Identify unsupported clinical conclusions, incomplete assessments, and potentially inappropriate recommendations.
• Assess whether clinical information reflects realistic inpatient workflows and patient care requirements.

AI Training & Clinical Quality Assurance

• Review AI-generated healthcare content against established clinical evaluation guidelines.
• Apply consistent standards when assessing the completeness and reliability of clinical outputs.
• Identify factual inaccuracies, documentation omissions, and inconsistencies affecting medical data quality.
• Evaluate complex or ambiguous clinical scenarios and provide structured recommendations for improvement.
• Support the refinement of AI model performance through clinically informed assessments and quality feedback.

Technical Documentation & Stakeholder Collaboration

• Prepare clear written feedback explaining clinical findings, documentation issues, and recommended corrections.
• Communicate nursing perspectives and relevant clinical considerations to project stakeholders.
• Collaborate with multidisciplinary teams to clarify evaluation requirements and resolve documentation ambiguities.
• Contribute professional insights concerning complex clinical scenarios and evaluation guidelines.
• Maintain high standards of accuracy, attention to detail, and professional communication across assigned deliverables.

Ideal Profile

• 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.
• Recent inpatient bedside nursing experience is strongly preferred.
• 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.
• Demonstrated understanding of hospital workflows and inpatient care coordination.
• Ability to apply professional nursing judgment when assessing clinical information.
• Strong knowledge of relevant nursing standards of care and clinical documentation practices.
• Experience identifying inaccurate, incomplete, or inconsistent information in patient records.
• Ability to evaluate clinical information across different inpatient patient populations.Broad clinical experience across multiple inpatient services is particularly valued.
• Experience in an academic medical centre, large teaching hospital, or major health system is advantageous.
• Familiarity with complex patient cases, multidisciplinary care teams, and advanced inpatient workflows.
• Experience with electronic health records and clinical data review.
• Strong analytical reasoning, clinical judgment, and attention to detail.
• Ability to evaluate medical information for clinical accuracy, safety, and appropriateness.
• Previous experience with clinical annotation or structured medical record review is advantageous.
• Prior annotation experience accompanied by positive performance evaluations is particularly valuable.
• Excellent written communication skills for documenting clinical findings and recommendations.
• Strong verbal communication and ability to collaborate with multidisciplinary project stakeholders.
• Ability to follow structured evaluation guidelines and maintain consistent review standards.
• Strong organisational skills and the ability to work independently on remote clinical evaluation assignments.
• Prior experience with AI model training or evaluation projects is not required.

Engagement Details

• Freelance / contract engagement
• Fully remote — United States only
• Compensation: $60–$70/hour
• 100 available openings
• Professional Focus: Registered Nursing, inpatient clinical care, medical record annotation, and healthcare quality assurance.
• Clinical Background: Registered Nurse authorised to practise in the United States.
• Preferred Experience: Recent inpatient bedside nursing experience, ideally across diverse patient populations.
• Technical Focus: Nursing documentation, clinical notes, care plans, physician orders, laboratory results, and discharge summaries.
• Evaluation Focus: Clinical accuracy, patient safety, nursing judgment, medical data consistency, and AI-generated healthcare content.
• Responsibilities will include reviewing inpatient medical records, annotating clinical information, and evaluating AI-generated medical outputs.
• Assignments may involve analysing patient assessments, nursing interventions, treatment documentation, and care coordination records.
• Deliverables will include structured clinical annotations, medical accuracy assessments, and detailed written feedback.
• Experience in academic hospitals, large healthcare systems, or complex inpatient care environments is particularly relevant.
• Previous experience with clinical annotation, documentation review, or healthcare data quality assurance is advantageous.
• Strong independent clinical judgment, analytical reasoning, and clear professional communication are important for successful project execution.
• Previous experience with AI training projects is not required.

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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