Hospitalist Physician

AI Trainer Jobs; United States; Remote; USD 103,000 - 152,000; Full time

Job summary

AI Trainer Jobs seeks a Hospitalist Physician for a remote clinical-review track evaluating AI outputs related to hospitalist care. Reviewers assess differential reasoning, dosing logic, and guideline adherence, flag safety issues, and document corrected clinical reasoning for model improvement.

Role requires active clinical licensure in hospitalist or related field, strong written reasoning citing guidelines, and the ability to work asynchronously for about 10 hours weekly.

Qualifications

• Active or recent license / board certification in hospitalist or an adjacent specialty.
• Hands-on clinical experience reading patient cases and writing structured assessments.
• Clear written reasoning that cites 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 hospitalist clinical guidelines and standard of care.
• Grade differential reasoning, dosing, and red-flag handling on a structured rubric.
• Flag patient-safety issues with severity tags matching 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 licensure

Clinical reasoning

Structured assessments

Guideline citing

Async availability

Job description

Hospitalist Physician is a remote clinical-review track for evaluating AI outputs that touch hospitalist. 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: $75-$110 / hr · Location: Remote - US-eligible · Contractor

Hospitalist Physician is a remote clinical-review track for evaluating AI outputs that touch hospitalist.

Role details

About the role

Hospitalist Physician is a remote clinical-review track for evaluating AI outputs that touch hospitalist. 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.
Hospitalist 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 hospitalist clinical guidelines and standard of care for Hospitalist Physician 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 hospitalist or an adjacent specialty for Hospitalist Physician 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 hospitalist 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-assistant clinical decision support and its failure modes.
• Bilingual clinical experience for non-English patient cases.

Compensation and schedule

Hourly rate confirmed after the interview process.
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
• Hospitalist
• Healthcare

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.