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Medical Oncologist - AI Trainer

Role overview

Qualifications

  • MD or DO with a completed fellowship in medical oncology or hematology/oncology
  • Active, unrestricted US medical license
  • Currently practicing in the United States and seeing oncology patients
  • 3+ years of post-fellowship experience in your current role strongly preferred

Responsibilities

  • Create realistic and nuanced oncology tasks and scenarios, focusing on clinical trials to reveal weaknesses in AI model responses
  • Evaluate AI-generated clinical reasoning for accuracy, completeness, and alignment with standard-of-care guidelines
  • Identify flawed logic, missed diagnoses, incomplete treatment rationale, or unsafe recommendations in model outputs
  • Provide clear, well-structured expert responses and chain-of-thought reasoning reflecting real clinical decision-making

Key facts

Hard skills

Other skills

  • Detail Oriented

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Oncologist
Type: Contract
Compensation: $380/hour
Location: Remote

Role Responsibilities

  • Create realistic and nuanced oncology tasks and scenarios, focusing on clinical trials to reveal weaknesses in AI model responses.
  • Evaluate AI-generated clinical reasoning for accuracy, completeness, and alignment with standard-of-care guidelines.
  • Identify flawed logic, missed diagnoses, incomplete treatment rationale, or unsafe recommendations in model outputs.
  • Provide clear, well-structured expert responses and chain-of-thought reasoning reflecting real clinical decision-making.
  • Maintain high standards of clinical rigor and accuracy throughout all contributions.

Qualifications

Must-Have

  • MD or DO with a completed fellowship in medical oncology or hematology/oncology.
  • Active, unrestricted US medical license.
  • Currently practicing in the United States and seeing oncology patients.
  • 3+ years of post-fellowship experience in your current role strongly preferred.
  • Active involvement in or direct experience with oncology clinical trials.

Preferred

  • Deep familiarity with clinical trial protocols, eligibility criteria, and regulatory standards (e.g., FDA, RECIST criteria).
  • Ability to articulate clinical reasoning clearly and precisely in written form.
  • Strong attention to detail in evaluating the accuracy and safety of AI-generated materials.

Application Process (Takes 20–30 mins to complete)

  • Credential verification: license status, fellowship completion, and current practice.
  • Final roster placement is confirmed with the project team before your start date.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.



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Marcus Rivera

Chief Revenue Officer

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