Healthcare & Life Sciences Expert

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

Benefits offered by this job

Remote work

Contractor arrangement

Job summary

AI Trainer Jobs is seeking a Healthcare & Life Sciences Expert for remote clinical-review of AI outputs touching clinical review. You will assess differential reasoning, dosing logic, and guideline adherence, flag patient-safety issues, and document corrected reasoning for the modeling team.

Role requires credentialed clinical reviewers and the ability to apply multi-page rubrics consistently. This is a remote, contractor position with US eligibility and variable task volume.

Qualifications

• Active or recent clinical license or board certification.
• Hands-on clinical experience reading patient cases.
• Clear written reasoning citing guidelines or evidence.

Responsibilities

• Review AI outputs against current 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.
• Capture corrected clinical reasoning for model training.

Skills

Clinical license

Clinical experience

Structured writing

Async availability

Job description

Category: Medical & Clinical AI · Pay: $75–$110 / hr · Location: Remote — US-eligible · Contractor

Healthcare & Life Sciences Expert is a remote clinical-review track for evaluating AI outputs that touch clinical review. 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.

Healthcare & Life Sciences Expert is a remote clinical-review track for evaluating AI outputs that touch clinical review.

Role details

About the role

Healthcare & Life Sciences Expert is a remote clinical-review track for evaluating AI outputs that touch clinical review. 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.
Clinical review 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 clinical review clinical guidelines and standard of care for Healthcare & Life Sciences 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.

What you should bring

• Active or recent license / board certification in clinical review or an adjacent specialty for Healthcare & Life Sciences 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 clinical review 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
• Clinical review