Oncologist

Mercor; India; Remote; INR 45,273,000 - 58,208,000; Full time

Benefits offered by this job

Remote work

Weekly payments via Stripe or Wise

Job summary

Mercor collaborates with a leading AI research lab to advance frontier oncology problem-solving. They seek US-based oncologists with hands-on clinical practice for a remote, short-term project that may extend based on performance.

You will contribute by crafting realistic oncology scenarios and evaluating AI-generated reasoning. This fully remote role offers weekly payments via Stripe or Wise, with H1-B and STEM OPT not supported.

Qualifications

• MD or DO pursuing or having completed fellowship in medical oncology/hematology/oncology.
• Currently practicing in the United States and seeing oncology patients, or has done so within the past three years (3+ years post-residency preferred).
• Ability to articulate clinical reasoning clearly and precisely in written form.

Responsibilities

• Create realistic oncology tasks and scenarios around clinical trials that test AI model responses.
• Evaluate AI-generated clinical reasoning for accuracy and adherence to guidelines.
• Identify flawed logic, missed diagnoses, and unsafe recommendations in model outputs.

Skills

Clinical reasoning

Written communication

Remote collaboration

Education

MD or DO

Fellowship in medical oncology or hematology/oncology

Job description

OncologistCompany: MercorCompensation: $350-$450 per hourCommitment: Hourly contractLocation: RemoteReferral Reward: Earn up to $1,800 per successful referral.Referral Link: https://t.mercor.com/jYKjWLocation requirementsUnited States

1. Role Overview

Mercor is collaborating with a leading AI research lab on a project to advance frontier medical problem-solving in oncology. We are looking for oncologists based in the United States with hands-on clinical practice experience. The goal of this project is to identify gaps in AI model reasoning around real-world oncology cases, particularly in clinical trial design, patient eligibility, and treatment decision-making, and to support the training of cutting-edge AI models. This is a short-term, high-impact, remote opportunity for oncologists excited about applying their clinical expertise to frontier AI research, with the possibility of extension based on performance.

2. Key Responsibilities

• Create realistic, nuanced oncology tasks and scenarios, particularly around clinical trials, that expose weaknesses in frontier AI model responses
• Evaluate AI-generated clinical reasoning for accuracy, completeness, and alignment with current 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 that reflect real clinical decision-making

3. Qualifications

• MD or DO who is currently pursuing or has completed a fellowship in medical oncology or hematology/oncology
• Currently practicing in the United States and seeing oncology patients, or has done so within the past three years (3+ years of post-residency experience strongly preferred)
• Ability to articulate clinical reasoning clearly and precisely in written form

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.