<em>Please submit your CV in English and indicate your level of English proficiency.<br><br></em>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. <strong>Participation is project-based.<br><br></strong><strong>What This Opportunity Involves<br><br></strong>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:<br><br><ul><li>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;</li><li>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;</li><li>Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;</li><li>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<br><br></li></ul>If you're a practicing physician ready to take on this challenging and engaging project, join us!<br><br><strong>What We Look For<br><br></strong>This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:<br><br><ul><li>Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);</li><li>Board certification or completed residency training, with recent direct patient care (attending-level preferred);</li><li>Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);</li><li>Strong clinical reasoning: differential diagnosis, next-step management, and application of evidence-based guidelines;</li><li>Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA (a plus);</li><li>Strong written English (C1+)<br><br></li></ul><em>This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.<br><br></em><strong>Project time expectations <br><br></strong>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.<br><br><strong>Compensation<br><br></strong>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of <strong>$130/hr</strong>. Because payment is per approved task, a faster pace raises your effective hourly rate.