Anesthesiologist — Clinical AI Review

AuraOne Human Data; United States; Remote; USD 398,000 - 567,000; Full time

Job summary

AuraOne, Inc. is seeking anesthesiologist reviewers for a remote, contractor-based clinical AI review track.

You will assess AI outputs for adherence to anesthesiology guidelines, document corrected reasoning, and grade dosing and safety signals.

Qualifications

• Active or recent license / board certification in anesthesiology or an adjacent specialty.
• 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.

Responsibilities

• Review AI outputs against current anesthesiology guidelines and standard of care for Anesthesiologist — Clinical AI Review 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.

Skills

Clinical reasoning

Guideline review

Patient-safety assessment

Structured clinical writing

Anesthesiology

Education

Medical license in anesthesiology

Board certification in anesthesiology

Job description

Anesthesiologist — Clinical AI Review is a remote clinical-review track for evaluating AI outputs that touch anesthesiology. 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

Anesthesiology 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 anesthesiology clinical guidelines and standard of care for Anesthesiologist — Clinical AI Review 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 anesthesiology or an adjacent specialty for Anesthesiologist — Clinical AI Review 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 an anesthesiology 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
• Anesthesiology

Work model

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

Compensation

$350 / hr