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Remote AI Expert - Clinical & Medical Jobs in Canada 2026
168 remote jobs open to candidates in Canada in AI Expert - Clinical & Medical. Updated daily.
micro1 is engaging with Internal Medicine Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards.
micro1 is engaging Pediatric Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your pediatric clinical training to help train next-generation AI systems.
micro1 is engaging Family Medicine Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you’ll apply your broad clinical training to help train next-generation AI systems.
micro1 is engaging Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you'll apply your expertise to help train next-generation AI systems.
Role Title: Medical Coder (CCS / CIC) Role Type: Contractor Location: US - Remote micro1 is engaging Medical Coders (CCS / CIC certified) to contribute their expertise to a dynamic project for a valued customer.
Mercor is hiring experienced Medical Practitioners (MDs and DOs) to evaluate health AI models in partnership with a leading AI lab. You will assess model outputs across diagnosis, clinical reasoning, and care workflows.
micro1 is engaging Hospitalist Physicians to contribute their medical expertise to a customer project focused on inpatient care and documentation standards. In this role, you'll apply your expertise to help train next-generation AI systems.
We’re looking for an experienced Radiologist to help train AI models. You’ll measure how well frontier models interpret medical images, check their reasoning, and help raise the quality of each new version.
This is a talent pool application, not a role with an immediate start date. We are building a vetted network of health professionals ahead of upcoming project demand.
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…
We are looking for certified pharmacy technicians to help evaluate AI systems that support medication-related workflows. You will review AI-generated responses for accuracy, safety, clarity and completeness, and correct them using your hands-on pharmacy knowledge.
micro1 is engaging Hospitalist Reviewers to contribute to a high-impact project with a customer focused on inpatient quality and documentation.
Models produce documentation that reads well and fails on integrity: a note that does not support the code billed, a missed query opportunity, a present-on-admission indicator that shifts an MS-DRG, a casual handling of protected health information.
Models explain managed care in tidy theory and miss the mechanics that decide coverage: a benefit rule that overrides the general one, a prior-auth requirement waived in the contract, a utilization review that should have flagged the case.
We’re looking for an experienced Cardiologist to help train AI models. You’ll measure how well the models answer clinical questions in cardiology, check their reasoning, and help raise the quality of each new version.
Models sound reassuring and still get bedside care wrong: a dosing detail that no nurse would administer, a triage order that buries the sickest patient, discharge teaching that misses the one thing that keeps someone safe at home.
Models describe the revenue cycle in clean theory and miss the mechanics that decide whether a claim pays: the real reason behind a CARC or RARC denial code, a payer rule that overrides the general one, an eligibility check that should have happened before the visit.
Models assign codes that look right and bill wrong: an ICD-10-CM code one notch short on specificity, a CPT modifier that changes the whole claim, an NCCI edit ignored, an E&M level the note never supported.
Models struggle with the practical side of healthcare: billing codes, insurance workflows, scheduling, and the administrative details that keep clinics running.
Models sound confident and still get bedside care wrong: a dose no nurse would give, a triage order that buries the sickest patient, discharge teaching that misses the one thing keeping someone safe at home. The distance between textbook care and real care is where you work.
Medical questions are where model mistakes matter most: outdated guidance, missed contraindications, and confident answers that no clinician would sign off on.
Models answer health questions in a confident, authoritative voice and still get the clinical details wrong: a contraindication they skip, guidance that ignores comorbidities, advice that is textbook-correct and wrong for a real patient.
The research teams behind the best-known AI models come to Mercor for medical judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.