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Remote Medical Ai Trainer Jobs (NOW HIRING)

... training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM ... medical AI by ensuring these systems can handle the complexity of real clinical practice. Remote ...

COMPANY SUMMARY Sorcero's medical AI platform transforms life sciences decision-making ... This role is remote and on an as-needed basis as determined by Sorcero project volume and the ideal ...

Remote Medical Coder

$19.25 - $24.25/hr

... Medical Coder to join our healthcare consulting practice. The role is fully remote within the US ... Complete training on all government systems, including all annual and short notice training. * Meet ...

Remote (US only) Job Summary: In this role, you'll apply your expertise to help train next ... Support AI training projects by providing accurate, real-world building compliance expertise.

Building Engineer - AI Trainer

FL ยท Remote

$50 - $80/hr

Remote (US only) Job Summary: In this role, you'll apply your expertise to help train next ... Support AI training projects by providing accurate, real-world building compliance expertise.

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Remote Medical Ai Trainer information

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How much do remote medical ai trainer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for remote medical ai trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Medical AI Trainer, and why are they important?

To thrive as a Remote Medical AI Trainer, you need a background in healthcare or medicine, strong analytical skills, and familiarity with medical terminology and clinical workflows. Experience with AI annotation tools, EHR systems, or machine learning platforms, along with relevant certifications such as RHIA or clinical coding, is often required. Attention to detail, clear written communication, and the ability to collaborate virtually are standout soft skills in this role. These competencies are crucial for ensuring accurate data labeling, effective model training, and seamless integration of AI solutions into real-world medical settings.

How do Remote Medical AI Trainers typically collaborate with medical professionals and data scientists?

Remote Medical AI Trainers frequently work alongside medical experts, such as physicians or radiologists, to ensure the accuracy and relevance of annotated medical data. They also collaborate with data scientists and AI engineers to provide feedback on model performance and clarify complex medical concepts. Effective communication and attention to detail are essential, as trainers bridge the gap between clinical knowledge and technical development. Regular virtual meetings, shared documentation platforms, and feedback loops are common tools used to maintain alignment and project progress.

What is a Remote Medical AI Trainer?

A Remote Medical AI Trainer is a professional who works remotely to help develop and improve artificial intelligence systems used in healthcare. They label, review, and curate medical data, such as images, clinical notes, or patient records, to train machine learning models for tasks like diagnosis, data extraction, or workflow automation. This role typically requires a background in healthcare, medical terminology, and sometimes experience with data annotation tools. Remote Medical AI Trainers play a crucial role in ensuring that AI systems are accurate and reliable for real-world clinical use.
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Remote Medical Specialist (MD/DO)

Remote Medical Specialist (MD/DO)

Turing

San Francisco, CA โ€ข On-site, Remote

$100 - $200/hr

Contractor

Posted 11 days ago


Job description

About Us

Based in San Francisco, California, Turing is the worldโ€™s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

What does day-to-day look like:
Work with research teams to evaluate and improve how AI systems handle clinical reasoning. You'll design evaluation methods that test AI performance on real medical problems where clinical expertise makes the difference.
  • Design systematic evaluation frameworks for medical AI systems.
  • Create clinical scenarios that test AI reasoning and decision-making capabilities.
  • Build assessment methods that capture the nuance of clinical practice.
  • Identify gaps in AI medical knowledge and reasoning.
  • Collaborate with AI researchers to improve model performance.

Candidate Requirements:
  • Licensed physician in active clinical practice (any specialty).
  • Experience with clinical decision-making and evidence-based medicine.
  • Interest in how AI can support clinical practice.
  • Strong analytical and communication skills.

Why it Matters:
Help shape the next generation of medical AI by ensuring these systems can handle the complexity of real clinical practice. Remote work with flexible scheduling around your clinical commitments.

Engagement details:
  • Commitment: flexible engagement, remote working, up to 30 hrs/week.
  • Duration: 1 month, with potential extensions based on performance and fit.

About Turing
Based in San Francisco, California, Turing is the worldโ€™s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems.
Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.


About Turing:

Based in San Francisco, California, Turing is the worldโ€™s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.