General Physician

Mercor

India

Remote

INR 16,007,000 - 22,798,000

Part time

14 days+

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Job summary

Mercor is hiring experienced Medical Practitioners (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab. You will assess model outputs across diagnosis, clinical reasoning, and care workflows.

This is a remote, hourly contractor role paying $150 per hour. Start date is immediate with 6-week engagement; part-time, 20+ hours per week. Payments are weekly via Stripe or Wise based on services rendered.

Qualifications

  • MD or DO from an accredited medical school.
  • Active, unrestricted US medical license.
  • Residency completed.
  • Currently practicing and seeing patients.
  • 3+ years post-residency experience preferred.

Responsibilities

  • Evaluate AI model outputs for clinical accuracy, safety, and alignment with medical standards.
  • Score diagnoses, case reasoning, and care recommendations against expert judgment.
  • Write structured feedback on clarity, safety, and clinical rigor.
  • Flag failure modes that compromise patient safety.
  • Collaborate asynchronously with AI researchers to improve model performance.

Skills

MD/DO degree
US medical license
Primary care exp

Education

MD or DO from accredited medical school

Job description

General Physician

Company: Mercor

Compensation: $150 per hour

Commitment: Hourly contract

Location: Remote

Referral Reward: Earn up to $600 per successful referral.

Referral Link: https://t.mercor.com/j3gcq

Mercor is hiring experienced Medical Practitioners (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab. You will assess model outputs across diagnosis, clinical reasoning, and care workflows.

Key Responsibilities
  • Evaluate AI model outputs for clinical accuracy, safety, and alignment with medical standards
  • Score diagnoses, case reasoning, and care recommendations against expert judgment
  • Write structured feedback on clarity, safety, and clinical rigor
  • Flag failure modes that compromise patient safety
  • Collaborate asynchronously with AI researchers to improve model performance
Required Qualifications
  • MD or DO from an accredited medical school
  • Active, unrestricted US medical license
  • Residency complete
  • Currently practicing and seeing patients
  • 3+ years of post-residency experience in your current role strongly preferred
  • Practice in primary care, internal medicine, and hospital-based specialties (Primary Care, General Internal Medicine, Family Medicine, Emergency Medicine, Critical Care)
  • Sharp attention to detail and clear written communication
  • Located in the US
Project Timeline
  • Start Date: Immediate
  • Duration: 6 weeks
  • Commitment: Part-time, 20+ hours per week
Application & Onboarding
  • Upload your resume and application form
  • Complete a 25-minute conversational interview on your background, experience, and motivations
  • Credential verification: license status, residency completion, and current practice setting
  • Final roster placement is confirmed with the project team before your start date
  • Receive next steps and onboarding details within a few days

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.

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