Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding,…
Remote Health & Medicine (AI) Jobs in United States 2026
241 remote jobs open to candidates in United States in Health & Medicine (AI). Updated daily.
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
micro1 is engaging Medical Coders to contribute their expertise to a dynamic project for a valued customer. In this role, you'll apply your outpatient coding expertise to help train next-generation AI systems.
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding,…
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.
Licensed psychiatrists to review how AI models handle psychiatric cases, and help write realistic cases. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve how their models handle mental health.
Licensed psychologists to review how AI models handle clinical psychology scenarios, and help write realistic cases. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve how their models handle mental health.
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…
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…
Help a leading AI lab ensure its models respond to people with care, balance and sound judgment. 1. Overview A leading AI lab is seeking behavioral health experts to help evaluate and improve how its AI models handle sensitive, everyday conversations.
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.
We are looking for experienced U.S.-based Pharmacists and Pharmacy Technicians to support an AI-focused healthcare project. This opportunity is ideal for pharmacy professionals with strong familiarity with prescription medications, generic and brand drug names, and standard U.S.
In this hourly, remote contractor role, you will work as a Healthcare Subject Matter Expert (SME) to create challenging, expert-level healthcare questions, evaluate AI-generated clinical content, and design high-quality rubrics defining what an accurate, complete, and…
Use your medical expertise to review clinical reasoning tasks based on de-identified longitudinal health records. This remote project is open to qualified professionals residing in the United States.
Peraton is seeking a highly experienced Subject Matter Expert (SME) specializing in Medicare Administrative Contractors (MACs) to support mission‑critical CMS operations across the Medicare Fee‑For‑Service (FFS) ecosystem.
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.
Models recite cardiology confidently and still miss what matters: an outdated guideline threshold, a misread rhythm strip, an anticoagulation choice that ignores a clear contraindication.
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.