Pediatric Nurses at AuraOne

AI Trainer Jobs

Northern (KY)

Hybrid

USD 76,000 - 90,000

Full time

3 days ago
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Benefits offered by this job

Remote work
Contractor role
Flexible hours

Job summary

AuraOne seeks experienced clinicians to remotely review AI pediatric outputs. You will assess differential reasoning, dosing logic, and guideline adherence, flag safety issues, and document corrected reasoning for model improvement.

Licensed pediatrics professionals will complete structured assessments and apply rubrics across long batches, with at least 10 hours per week expected, on a flexible contractor basis.

Qualifications

  • Active or recent pediatrics license or board certification.
  • Hands-on clinical experience reading patient cases and writing structured assessments.
  • Clear written reasoning citing guidelines, evidence, or standard of care.
  • Ability to apply multi-page rubrics consistently across long batches.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current pediatrics clinical guidelines and standard of care for Pediatric Nurses 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.

Skills

Clinical reasoning
Guideline review
Patient-safety assessment
Structured clinical writing

Education

Active medical license in pediatrics

Job description

Pediatric Nurses is a remote clinical-review track for evaluating AI outputs that touch pediatrics. 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.

Category: Medical & Clinical AI · Pay: $55–$65 / hr · Location: Remote — US-eligible · Contractor

Pediatric Nurses is a remote clinical-review track for evaluating AI outputs that touch pediatrics.

About the role

Pediatric Nurses is a remote clinical-review track for evaluating AI outputs that touch pediatrics. 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.
Pediatrics 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.
Review clinical and biomedical AI outputs. Your safety judgment is the point.

Responsibilities
  • Review AI outputs against current pediatrics clinical guidelines and standard of care for Pediatric Nurses 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.
What you should bring
  • Active or recent license / board certification in pediatrics or an adjacent specialty for Pediatric Nurses 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 pediatrics 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.
Useful experience
  • 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.
Compensation and schedule

$55–$65 / hr

Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching
  • Clinical reasoning
  • Guideline review
  • Patient-safety assessment
  • Structured clinical writing
Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

Specialist intake

The intake preserves your chosen role, the visible terms, and source attribution for reviewer context.

  • 01 Confirm profile and eligibility details.
  • 02 Attach this role deliberately.
  • 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.

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