Family & Internal Medicine MD/DO - Flexible Remote Case Review

Toloka; Ohio; Hybrid; USD 114,000 - 162,000; Full time

Benefits offered by this job

Flexible schedule

Onboarding reward

Performance incentives

Job summary

Mindrift is seeking MDs or DOs with an active US license to evaluate clinical EHR vignettes for a medical AI evaluation project. This flexible, time-limited engagement fits around a clinical practice and focuses on multi-system medical review.

Contributors review vignettes, score reasoning quality, and write concise rationales. Project-based earnings include an onboarding reward and incentives for high-quality work.

Qualifications

• MD or DO with active US license.
• Board certification or residency training with recent direct patient care.
• Broad, multi-system diagnostic and treatment experience.
• Strong clinical reasoning and evidence-based practice.
• Experience in medical AI evaluation or medical annotation/QA is a plus.
• Strong written English (C1+).

Responsibilities

• Evaluate EHR vignettes with questions, proposed answers, and a distractor 'trap' answer.
• Score clinical reasoning quality across vignette accuracy, completeness, and trap quality.
• Write short rationales and assess reasoning chains.
• Participate in three independent blind reads with physician adjudication.

Skills

Clinical reasoning

Written English

Education

MD or DO

Board certification or residency training

Job description

About the company

Paid per approved task, about $100/hr equivalent.

One flat rate for every approved task.

Built to fit around a clinical practice:

• Tasks estimated at about 10-20 hrs/week while the project is active; you choose when and how much to contribute
• Contribute anytime, from anywhere
• No patient contact, no malpractice exposure: you review written clinical cases
• All reviewers are license-verified physicians
• $50 one-time onboarding reward, paid once your first production task is approved

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 physicians (MD/DO) 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.

What we look for

This opportunity is a good fit for US-licensed physicians 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;
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);
• 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.

Project time expectations

You decide when and how much to contribute. For this project, tasks are estimated at around 10-20 hours per week during active phases. This is an estimate, not a minimum or a guaranteed workload, and applies only while the project is active. Tasks are submitted within the project timeline and need to meet the listed acceptance criteria to be approved.

Earnings

Earnings are per approved task, at aflat rate set to about $100/hr equivalentbased on estimated task time. There are no tiers or speed adjustments to the base rate. 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. Terms are shared in the project guidelines.