Remote Medical Oncologist — AI Safety Validator

Labela; Texas; Sur place; USD 78 000 - 156 000; Temps partiel

Résumé du poste

Labela is seeking U.S.-based Medical Oncologists at every career stage for high-level clinical consulting to validate, refine, and audit AI-driven clinical reasoning. This fully remote role lets clinicians influence safety and accuracy of medical AI at scale.

Engagement runs July 30 to August 31, 2026, with flexible project-based hours. Preference for candidates based in Texas, but the role is fully remote across the United States.

Qualifications

• Board-certified or eligible in Medical Oncology (ABIM).
• Minimum 2+ years of postgraduate clinical training.
• Based in the United States.
• Ability to provide concise, technical feedback on complex clinical cases.

Responsabilités

• Clinical Logic Auditing: Review and refine AI-generated diagnostic and treatment strategies to ensure alignment with ASCO/NCCN standards.
• High-Complexity Validation: Provide expert-level ground truth for intricate oncological case presentations, staging, and treatment-regimen selection.
• Safety Oversight: Identify clinical inaccuracies or hallucinations in AI outputs that could impact patient safety or triage decisions.
• Strategic Consulting: Advise on the development of AI-driven clinical decision support tools for oncological care.

Connaissances

ASCO/NCCN standards knowledge

Clinical reasoning feedback

Remote collaboration

Formation

ABIM Board-certified or eligible in Medical Oncology

PGY-2 or above training in Medical Oncology

Description du poste

Overview

Labela is seeking U.S.-based Medical Oncologists at every career stage, from board-certified attendings and fellows to senior residents (PGY-2 and above), for high-level clinical consulting. You will serve as a subject matter expert to validate, refine, and audit the clinical reasoning of frontier AI models. This is a flexible, remote role designed to let clinicians influence the safety and accuracy of medical AI at scale.

Overview

Labela is seeking U.S.-based Medical Oncologists at every career stage, from board-certified attendings and fellows to senior residents (PGY-2 and above), for high-level clinical consulting. You will serve as a subject matter expert to validate, refine, and audit the clinical reasoning of frontier AI models. This is a flexible, remote role designed to let clinicians influence the safety and accuracy of medical AI at scale.

Key Responsibilities

• Clinical Logic Auditing: Review and refine AI-generated diagnostic and treatment strategies to ensure alignment with ASCO/NCCN standards.
• High-Complexity Validation: Provide expert-level ground truth for intricate oncological case presentations, staging, and treatment-regimen selection.
• Safety Oversight: Identify clinical inaccuracies or hallucinations in AI outputs that could impact patient safety or triage decisions.
• Strategic Consulting: Advise on the development of AI-driven clinical decision support tools for oncological care.
  
  

Qualifications

• Credentials: Board-certified or board-eligible in Medical Oncology (ABIM), or a current senior resident or fellow (PGY-2 or above) training in the field.
• Experience: 2+ years of postgraduate clinical training. Established attendings and senior trainees are equally welcome.
• Citizenship: Must be based in the United States.
• Communication: Ability to provide concise, technical feedback on complex clinical cases.
  
  

Position Details

• Environment: 100% Remote
• Commitment: Flexible, project-based hours designed to fit around a clinical or training schedule. This engagement runs July 30 to August 31, 2026.
• Location Focus: We are prioritizing candidates based in Texas for this cohort, though the role is fully remote across the United States.
  
  

How To Apply

Visit www.labela.ai to submit your application.