Registered Nurse

AuraOne

United States

Remote

USD 103,000 - 152,000

Full time

14 days+

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Job summary

AuraOne is seeking experienced nurse reviewers for a remote, US-eligible contract role evaluating AI-generated nursing outputs. You will assess reasoning, dosing logic, and guideline adherence on a structured rubric, flag safety issues, and document corrected reasoning for model improvement.

Ideal candidates hold an active nursing license, have hands-on clinical case experience, and can commit at least 10 hours weekly. This contractor position is Remote — US-eligible with flexible scheduling.

Qualifications

  • Active or recent nursing license / board certification.
  • Hands-on experience reading patient cases and writing structured assessments.
  • Ability to apply multi-page rubrics consistently.
  • Clear written clinical reasoning citing guidelines or evidence.
  • Reliable availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current nursing guidelines and standards for RN work.
  • Grade differential reasoning, dosing logic, and red-flag handling using a structured rubric.
  • Flag patient-safety issues with severity tags per clinical taxonomies.
  • Capture corrected clinical reasoning to train modeling systems.
  • Adjudicate cases against published evidence or guidelines.
  • Maintain reviewer-quality scores in weekly calibrations.

Skills

Clinical reasoning
Guideline review
Patient-safety assessment
Structured clinical writing
Nursing

Job description

Category: Medical & Clinical AI · Pay: $75–$110 / hr · Location: Remote — US-eligible · Contractor

Registered Nurse is a remote clinical-review track for evaluating AI outputs that touch nursing. Reviewers grade differential reasoning, dosing logic, and guideline adherence; flag patient-safety issues; and document the corrected clinical reasoning so the modeling team can close the gap.

Why this role matters

Nursing AI is only useful if a credentialed clinician would sign their name to the output. AuraOne uses licensed and credentialed reviewers to set the bar for clinical reasoning, dosing, and guideline adherence in regulated workflows.

Responsibilities
  • Review AI outputs against current nursing clinical guidelines and standard of care for Registered Nurse assignments.
  • Grade differential reasoning, dosing, and red-flag handling on a structured rubric.
  • Flag patient-safety issues with severity tags that match clinical-incident taxonomies.
  • Capture the corrected clinical reasoning so the modeling team can train on it.
  • Adjudicate disputed cases against published evidence or specialty guidelines.
  • Maintain reviewer-quality scores in weekly inter-rater calibration cycles.
Qualifications
  • Active or recent license / board certification in nursing or an adjacent specialty for Registered Nurse work.
  • Hands-on clinical experience reading patient cases and writing structured assessments.
  • Comfort applying multi-page rubrics consistently across long batches.
  • Clear written reasoning that cites guidelines, evidence, or standard of care.
  • Reliable async availability for at least 10 hours per week.
Example tasks
  • Grade a model's differential-diagnosis reasoning on a nursing case and write a 2-3 sentence assessment.
  • Flag a dosing miscalculation with the right severity tag and corrected dose.
  • Adjudicate a disputed case between two reviewers using current specialty guidelines.
  • Audit a 25-case batch for rubric consistency and report drift to the program lead.
Nice to have
  • Prior work as a guideline reviewer, peer reviewer, or clinical educator.
  • Familiarity with AI-assisted clinical decision support and its failure modes.
  • Bilingual clinical experience for non-English patient cases.
Skills
  • Clinical reasoning
  • Guideline review
  • Patient-safety assessment
  • Structured clinical writing
  • Nursing
Work model

Remote — US-eligible. Remote · Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US.

Compensation

Hourly rate confirmed after the interview process.

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