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Medic/Doctor - Freelance AI Trainer Project

Meridial · United States of America · Research / analysis

Medic/Doctor - Freelance AI Trainer Project is an open role at Meridial, located in United States of America, with pay listed as $6–$65/hr.

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At a glance

Pay
$6–$65/hrStated by Meridial
Location
United States of America
Listed
Since Jul 19, last confirmed Oct 24

How the pay compares

This role$65
Meridial median$30
Healthcare roles median$90
All roles median$60

Higher than 21% of the 88 distinct hourly rates advertised for Healthcare roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Meridial’s listing

“Are you a medicine expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery.”
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Are you a medicine expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline clinical work for healthcare professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for medicine specialists who live and breathe internal medicine, pharmacology, pathology, clinical diagnostics, medical ethics, human physiology, epidemiology, immunology, and evidence-based medicine. You’ll challenge advanced language models on topics like differential diagnosis, drug interactions, treatment protocols, pathophysiological mechanisms, clinical trial design, public health interventions, and diagnostic imaging interpretation—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on clinical scenarios and theoretical medical questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A medical degree (MD, DO) or a master’s/PhD in a health sciences field is ideal; clinical experience, peer‑reviewed publications, hospital-based practice, or public health project involvement signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your medicine expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $6-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insuran

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About Meridial: part of Invisible Technologies. See the full profile →

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Frequently asked questions

How do I apply for the Medic/Doctor - Freelance AI Trainer Project role at Meridial?

Applications go through Meridial's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Meridial's access model is "Apply" (Join network / apply to projects). This listing was first seen here on July 19, 2026 and was still live at the last check.

Is the Medic/Doctor - Freelance AI Trainer Project role at Meridial remote?

This role is listed for the United States.

What does the Medic/Doctor - Freelance AI Trainer Project role at Meridial pay?

Meridial lists this role's pay as $6–$65/hr, quoted from the listing rather than estimated.

What kind of work is Medic/Doctor - Freelance AI Trainer Project?

Research / analysis. Law, STEM, finance, coding, linguistics, safety and AI training

Is Meridial a legitimate AI-training platform?

Invisible-powered expert contractor network - and that relationship is rated "Confirmed" here because it can be checked against www.meridial.ai rather than taken on Meridial's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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