Emergency Medicine Physician — O*NET Occupation Study

AI Trainer Jobs; United States; Remote; USD 152,000 - 165,000; Full time

Benefits offered by this job

Remote work

Job summary

AI Trainer Jobs in the United States seeks Emergency Medicine Physician – O*NET Occupation Study for remote clinical-review work evaluating AI outputs in emergency medicine. Reviewers assess differential reasoning, dosing logic, guideline adherence, and flag patient-safety issues; document corrected clinical reasoning so the modeling team can close gaps.

AuraOne employs licensed clinicians to sign outputs; remote, contractor role with program-defined task volume and pace.

Qualifications

• Active or recent license / board certification in emergency medicine.
• Hands-on clinical experience reading patient cases and writing structured assessments.
• 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 emergency medicine guidelines and standard of care.
• 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.

Skills

Clinical reasoning

Guideline review

Patient-safety assessment

Structured writing

Emergency Medicine

Job description

Emergency Medicine Physician — O*NET Occupation Study is a remote clinical-review track for evaluating AI outputs that touch emergency medicine. 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: $115 / hr · Location: Remote — US-eligible · Contractor

Emergency Medicine Physician — O*NET Occupation Study is a remote clinical-review track for evaluating AI outputs that touch emergency medicine.

About the role

Emergency Medicine Physician — O*NET Occupation Study is a remote clinical-review track for evaluating AI outputs that touch emergency medicine. 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.
Emergency Medicine 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 emergency medicine clinical guidelines and standard of care for Emergency Medicine Physician — O*NET Occupation Study 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.

Role details

Track Healthcare review Work model Remote · Independent specialist contractor Compensation $115 / hr Eligible from US

What you should bring

• Active or recent license / board certification in emergency medicine or an adjacent specialty for Emergency Medicine Physician — O*NET Occupation Study 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.

Role signals

Example tasks

• Grade a model's differential-diagnosis reasoning on a emergency medicine 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

$115 / 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
• Emergency Medicine

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.