US-licensed physicians evaluating clinical EHR vignettes for Mindrift’s medical AI projects. Reviewing diagnostic reasoning, treatment answers, and benchmark quality on flexible, project-based schedules.
Responsibilities
Evaluate clinical EHR vignettes paired with questions, proposed answers, and distractor trap answers across diagnosis and treatment tasks
Score clinical reasoning quality, vignette accuracy and completeness, answer correctness and gradeability, and trap quality
Check whether reasoning chains reach answers from vignette facts alone
Correct reasoning traces and write short rationales
Participate in three independent blind reads followed by physician adjudication
Complete approved tasks within project timelines and acceptance criteria
Requirements
Actively practicing physician living outside the US
Medical degree (MD or DO)
Active, unrestricted US medical license, verified at onboarding and re-checked monthly
Board certification or completed residency training
Recent direct patient care; attending-level preferred
Broad, multi-system diagnostic and treatment experience in internal, family, emergency, or hospital medicine
Strong clinical reasoning, including differential diagnosis, next-step management, and evidence-based guidelines
Strong written English (C1+)
Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is a plus
Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or non-clinical healthcare titles
CV must be submitted in English with English proficiency level indicated
Benefits
Flexible, project-based work designed to fit around clinical practice
Tasks estimated at about 10–20 hours per week while the project is active; choose when and how much to contribute
Contribute anytime, from anywhere
No patient contact and no malpractice exposure
$50 one-time onboarding reward, paid once your first production task is approved
Incentives: additional earnings for high-quality approved tasks
QA and adjudication tasks are paid at a higher rate
AI Development Manager leading production agentic AI/ML platforms for Boeing’s commercial aviation services. Managing technical teams, AI governance, safety, quality and enterprise collaboration.
Sessional lecturer teaching a University of Toronto course on educational technology, AI, and active learning classrooms. Designing content, assessing students, and supervising assigned TAs.
Responsable de la transformation IA chez Maya HTT, spécialiste des logiciels d’ingénierie et de simulation. Pilotage de la stratégie, de la gouvernance et du développement de solutions IA.
US - licensed physicians evaluating clinical EHR vignettes and reasoning quality for Mindrift’s medical AI projects. Flexible, project - based work alongside clinical practice.
US - licensed physicians evaluating EHR vignettes and clinical reasoning for Mindrift’s medical AI projects. Flexible, project - based remote work alongside clinical practice.
US - licensed physicians evaluating EHR clinical cases for Mindrift’s medical AI projects. Reviewing diagnoses, treatments, reasoning quality, and benchmark answer accuracy.
US - licensed physicians evaluating clinical EHR vignettes and reasoning quality for Mindrift’s medical AI projects. Flexible, project - based contribution around clinical practice.
AI Resilience Fund Manager building and managing Human Agency’s fund for AI - resilient investments. Leading thesis development, LP fundraising, portfolio construction, and cross - asset investments.
AI Resilience Fund Manager building Human Agency’s AI - resilient investment fund. Leading thesis development, LP fundraising, portfolio construction, and cross - asset investments for a 20 - year horizon.
US - licensed physicians evaluating clinical EHR cases for Mindrift’s medical AI projects. Reviewing reasoning, answers, and distractors across diagnosis and treatment tasks.