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Medical Ai Trainer Jobs (NOW HIRING)

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Medical Ai Trainer information

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$11

$27

$48

How much do medical ai trainer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for medical ai trainer in the United States is $27.04, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $31.25 per hour, depending on experience, location, and employer.

What does a typical day look like for a Medical AI Trainer, and with whom do they usually collaborate?

A typical day for a Medical AI Trainer involves annotating and verifying medical data, reviewing cases for accuracy, and working closely with data scientists and software engineers to refine AI training protocols. Trainers may also participate in quality assurance checks, documentation, and periodic team meetings to discuss project progress and challenges. Collaboration with clinicians or subject matter experts is common to ensure clinical validity in AI outputs. This role often offers a mix of independent tasks and teamwork within a multidisciplinary environment, providing valuable exposure to both healthcare and technology fields.

What is a Medical AI Trainer job?

A Medical AI Trainer is responsible for training and refining artificial intelligence models used in healthcare. This involves annotating medical data, validating AI outputs, and ensuring that models align with clinical guidelines. They collaborate with data scientists, engineers, and healthcare professionals to improve AI accuracy and reliability. Strong knowledge of medical terminology, data privacy regulations, and AI processes is often required.

What are the key skills and qualifications needed to thrive in the Medical Ai Trainer position, and why are they important?

To thrive as a Medical AI Trainer, you need a strong background in healthcare or life sciences, combined with experience in data annotation, clinical workflows, and AI or machine learning concepts. Familiarity with data labeling platforms, medical software systems, and relevant certifications such as HIPAA compliance training are commonly required. Exceptional attention to detail, communication skills, and the ability to collaborate across interdisciplinary teams are crucial soft skills. These abilities ensure that AI models are trained on accurate, contextually relevant data, leading to reliable and ethical healthcare solutions.

What cities are hiring for Medical Ai Trainer jobs? Cities with the most Medical Ai Trainer job openings:
What are the most commonly searched types of Medical Ai Trainer jobs? The most popular types of Medical Ai Trainer jobs are:
What states have the most Medical Ai Trainer jobs? States with the most job openings for Medical Ai Trainer jobs include:
What job categories do people searching Medical Ai Trainer jobs look for? The top searched job categories for Medical Ai Trainer jobs are:
Infographic showing various Medical Ai Trainer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $56,233 per year, or $27 per hour.

Remote Resident Medical Specialist (MD/DO)

Turing

Ocala, FL โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


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