Neurologist

AI Trainer Jobs; United States; Remote; USD 69,000 - 276,000; Full time

Job summary

AI Trainer Jobs is seeking a Neurologist for a remote clinical-review track evaluating AI outputs that touch neurology. Reviewers assess differential reasoning, dosing logic, and guideline adherence, flag patient-safety issues, and document corrected clinical reasoning to help the modeling team close gaps.

Responsibilities include reviewing AI outputs against current neurology guidelines, scoring reasoning on a structured rubric, and capturing annotated corrections for training.

Qualifications

• Active or recent license / board certification in neurology.
• Hands-on clinical experience reading patient cases and writing structured assessments.
• Clear written reasoning that cites guidelines or standard of care.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Review AI outputs against current neurology clinical guidelines and standard of care for Neurologist 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

Neurology

Clinical reasoning

Guideline adherence

Patient safety

Documentation

Job description

Neurologist is a remote clinical-review track for evaluating AI outputs that touch neurology. 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: $50–$200 / hr · Location: Remote — US-eligible · Contractor

Neurologist is a remote clinical-review track for evaluating AI outputs that touch neurology.

Role details

Track Healthcare review

About the role

Neurologist is a remote clinical-review track for evaluating AI outputs that touch neurology. 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.
Neurology 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 neurology clinical guidelines and standard of care for Neurologist 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 neurology or an adjacent specialty for Neurologist 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 neurology 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

$50–$200 / 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
• Neurology
• ai model training and validation
• analytical thinking
• clinical data interpretation
• clinical documentation
• cross-functional collaboration
• digital health records
• mentorship

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

• 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.