Clinical Data Manager / CDISC

AI Trainer Jobs; United States; Remote; USD 138,000 - 207,000; Full time

Job summary

AI Trainer Jobs is seeking a Clinical Data Manager / CDISC expert for a remote, contractor role evaluating AI outputs touched by clinical review. You will review clinical narratives, assess dosing logic, safety implications, and ensure adherence to guidelines, with documentation to train the modeling team.

Candidates should hold an active license or board certification in clinical review or a related field, be proficient in structured clinical writing, and able to apply rubrics consistently

Qualifications

• Active or recent clinical license or board certification.
• Experience reading patient cases and writing structured assessments.
• Ability to apply multi-page rubrics consistently across long batches.

Responsibilities

• Review AI outputs against current clinical review guidelines and standard of care.
• 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

Clinical reasoning

Guideline review

Patient-safety assessment

Structured clinical writing

Clinical review

Education

Clinical license / board certification

Job description

Clinical Data Manager / CDISC 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.

Category: Medical & Clinical AI · Pay: $100–$150 / hr · Location: Remote — US-eligible · Contractor

Clinical Data Manager / CDISC is a remote clinical-review track for evaluating AI outputs that touch clinical review.

Role details

About the role

Clinical Data Manager / CDISC 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 Clinical Data Manager / CDISC 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 clinical review or an adjacent specialty for Clinical Data Manager / CDISC 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

$100–$150 / 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
• Clinical review

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.