Physician (MD/DO), Medical AI Evaluation

Mindrift

Bengaluru, Karnataka, IndiaFresher7m agovia LinkedIn

This job at a glance

Who can apply
Freshers
Must know
EHR / EMROnboarding
Nice to have
Patient care
Work
On-site in Bengaluru
Pay
Not stated by the employer.
Skill demand
Patient care62%EHR / EMR6%Onboarding6%of 97 similar fresher jobs posted in India this week
Listed
30 Oct 2026 · still open

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About the Role

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

What This Opportunity Involves

We're looking for actively practicing, US-licensed physicians (MD/DO) living outside the US, with an active, unrestricted US medical license, to evaluate clinical EHR vignettes for a medical AI evaluation project. General and internal medicine are the main focus.

On this project, contributors may:

  • Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor "trap" answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems.
  • Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality.
  • Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales.
  • Work within three independent blind reads, followed by physician adjudication.

Real clinical complexity only.

You're improving the AI tools you'll eventually use yourself.

Requirements & Tech Stack

This opportunity is a good fit for US-licensed physicians living outside the US who are looking for a flexible, time-limited project they can fit around clinical practice.

Ideally, contributors will have:

  • Medical degree (MD or DO) and an active, unrestricted US medical license (verified at onboarding and re-checked monthly).
  • Board certification or completed residency training, with recent direct patient care (attending-level preferred).
  • Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine).
  • Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines.
  • Strong written English (C1+).

This opportunity is not suitable for medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Qualifications

  • Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus).

How It Works

  • Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project Time Expectations

  • Tasks estimated at around 10-20 hours per week during active phases. This is an estimate, not a minimum or a guaranteed workload.
  • You choose when and how much to contribute.
  • Contribute anytime, from anywhere.
  • No patient contact, no malpractice exposure: you review written clinical cases.

Earnings

  • Paid per approved task, at a flat rate set to about $35/hr equivalent based on estimated task time.
  • QA and adjudication tasks are paid at a higher rate.
  • $50 one-time onboarding reward, paid once your first production task is approved.
  • Incentives: additional earnings for high-quality approved tasks.

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