Pharmacology Expert

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

Job summary

AI Trainer Jobs seeks a Pharmacology Expert for a remote clinical-review track evaluating AI outputs related to pharmacology. You will assess differential reasoning, dosing logic, and guideline adherence, flag patient-safety issues, and document corrected clinical reasoning to improve model performance.

Licensed clinicians will sign outputs; reviewers should have hands-on experience with clinical cases, robust written reasoning, and the ability to work asynchronously for at least 10 hours

Qualifications

• Active or recent license / board certification in pharmacology 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 pharmacology guidelines and standard of care for Pharmacology Expert 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

Licensure in pharmacology

Clinical case review

Rubric-based evaluation

Evidence-based reasoning

Async availability 10h/w

Job description

Pharmacology Expert is a remote clinical-review track for evaluating AI outputs that touch pharmacology. 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

Pharmacology Expert is a remote clinical-review track for evaluating AI outputs that touch pharmacology.

Role details

About the role

Pharmacology Expert is a remote clinical-review track for evaluating AI outputs that touch pharmacology. 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.
Pharmacology 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 pharmacology clinical guidelines and standard of care for Pharmacology Expert 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 pharmacology or an adjacent specialty for Pharmacology Expert 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 pharmacology 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

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
• Pharmacology