Physician (Md/Do) - Medical Ai Evaluation

Mindrift; Manchester; À distance; GBP 44 000 - 73 000; Temps partiel

Avantages offerts par ce poste

Pay per task

Remote project-based work

Résumé du poste

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. This opportunity involves evaluating clinical EHR vignettes for a medical AI evaluation program; participation is project-based.

Open to US-based physicians with MD/DO, board certification or completed residency, and an active medical license. Tasks include scoring reasoning quality, adjudication across blind reads, and providing short

Qualifications

• Medical degree (MD or DO) and active, unrestricted US medical license.
• Board certification or completed residency with recent direct patient care.
• Strong written English (C1+).

Responsabilités

• Evaluate clinical EHR vignettes with questions, proposed answers, and distractors.
• Score clinical reasoning quality across vignette-related tasks.
• Check whether reasoning traces lead to the correct answer from vignette facts.
• Provide short rationales and participate in three blind reads with physician adjudication.

Connaissances

Medical knowledge

Clinical reasoning

Written English

Formation

MD/DO degree

Board certification / Residency

Description du poste

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 US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, 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-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• 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 fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $70/hr.