Radiologicals Safety for Redteaming

AI Trainer Jobs; United States; Remote; USD 90,000 - 103,000; Part time

Job summary

AI Trainer Jobs is seeking reviewers for Radiologicals Safety for Redteaming on a remote basis. Review AI outputs touching radiology, grade differential reasoning, dosing logic, and guideline adherence, and document corrected clinical reasoning for the modeling team.

Role requires active radiology licensure or board certification, hands-on case review experience, and ability to apply multi-page rubrics consistently while citing guidelines and evidence.

Qualifications

• Active or recent license / board certification in radiology or an adjacent specialty.
• Hands-on clinical experience reading patient cases and writing structured assessments.
• Experience applying multi-page rubrics consistently across long batches.
• Clear written reasoning that cites guidelines, evidence, or standard of care.

Responsibilities

• Review AI outputs against current radiology guidelines and standard of care.
• Grade reasoning and dosing on a structured rubric.
• Flag patient-safety issues with severity tags.
• Capture corrected clinical reasoning for model training.

Skills

Clinical reasoning

Guideline review

Patient-safety assessment

Structured clinical writing

Radiology

Education

Medical license or board certification in radiology

Tools

AI decision support familiarity

Job description

Radiologicals Safety for Redteaming is a remote clinical-review track for evaluating AI outputs that touch radiology. 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: $65–$75 / hr · Location: Remote — US-eligible · Contractor

Radiologicals Safety for Redteaming is a remote clinical-review track for evaluating AI outputs that touch radiology.

Role details

About the role

Radiologicals Safety for Redteaming is a remote clinical-review track for evaluating AI outputs that touch radiology. 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.
Radiology 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 radiology clinical guidelines and standard of care for Radiologicals Safety for Redteaming 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 radiology or an adjacent specialty for Radiologicals Safety for Redteaming 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 radiology 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

$65–$75 / 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
• Radiology

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.