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Full Time Medical Ai Trainer Jobs (NOW HIRING)

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

As a Medical AI Researcher , you'll work directly with medical imaging companies preparing FDA ... Location This is a full-time, on-site role based in San Francisco, CA . Remote work is not ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

As a Medical AI Researcher , you'll work directly with medical imaging companies preparing FDA ... Location This is a full-time, on-site role based in San Francisco, CA . Remote work is not ...

Carbon Health

Full Time Medical Assistant

Lawrence, NJ · On-site

$19 - $24.25/hr

Complete training and become certified with the Department of Transportation to perform Urine Drug ... our hands free AI charting tool. That's why we hire people who genuinely care about patients ...

Carbon Health

Full Time Medical Assistant

Montgomery, NJ · On-site

$18.75 - $24/hr

Complete training and become certified with the Department of Transportation to perform Urine Drug ... our hands free AI charting tool. That's why we hire people who genuinely care about patients ...

Carbon Health

Full Time Medical Assistant

Culver City, CA · On-site

$19.50 - $25/hr

Complete training and become certified with the Department of Transportation to perform Urine Drug ... our hands free AI charting tool. That's why we hire people who genuinely care about patients ...

Carbon Health

Full Time Medical Assistant

Lawrence, NJ · On-site

$19 - $24.25/hr

The magic we've created lies in Carbon Health's custom EHR and the collaboration among clinical teams, engineers, and designers who work side-by-side to deliver innovation like our hands free AI ...

Walter

Data Engineer - FHIR Expertise

Our client is a forward-thinking company focused on creating cutting-edge medical AI assistants ... Commitment Type: Full-time * Duration: 3 - 6 months * Location: US-based * Start Date: Immediate ...

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Full Time Medical Ai Trainer information

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How much do full time medical ai trainer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for full time 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 is the difference between Full Time Medical Ai Trainer vs Medical Data Annotator?

AspectFull Time Medical Ai TrainerMedical Data Annotator
CredentialsRelevant healthcare or AI training certifications, technical skillsBasic medical knowledge, annotation tools familiarity
Work EnvironmentHealthcare settings, AI development teams, remote optionsData labeling environments, remote or onsite
Employer & IndustryAI companies, healthcare tech firms, hospitalsData annotation companies, AI firms, healthcare projects

Full Time Medical Ai Trainers focus on training AI models with medical data, requiring healthcare knowledge and technical skills. Medical Data Annotators primarily label and categorize data, often with less specialized medical training. Both roles are essential in AI healthcare development but differ in responsibilities and expertise required.

More about Full Time Medical Ai Trainer jobs
What cities are hiring for Full Time Medical Ai Trainer jobs? Cities with the most Full Time 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:
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What job categories do people searching Full Time Medical Ai Trainer jobs look for? The top searched job categories for Full Time Medical Ai Trainer jobs are:
Full Time Medical Ai Trainer jobs near you
Infographic showing various Full Time Medical Ai Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $56,233 per year, or $27 per hour.

Medical AI Researcher

Clera

San Francisco, CA • On-site

$150K - $230K/yr

Full-time

Re-posted 16 days ago

Job description

About the Role
Join a small, mission-driven team conducting rigorous, independent evaluations of medical imaging AI systems - bridging the gap between benchmark performance and real-world clinical reliability. As a Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA submissions, owning customer engagements end-to-end: from defining evaluation questions to delivering evidence that informs go/no-go decisions. You'll combine strong ML skills with customer-facing judgment to characterize model behavior, generalization, and uncertainty in real-world clinical workflows.
What You'll Do
  • Lead end-to-end customer engagements - run meetings, define evaluation questions, and scope investigations.
  • Design and execute investigations that characterize model behavior, generalization, failure modes, and remaining uncertainty.
  • Analyze medical imaging workflows (DICOM/PACS, radiology pipelines) and translate findings into actionable evaluation evidence.
  • Deliver clear, defensible reports and presentations for regulatory and internal audiences under tight timelines.
  • Collaborate with customers and cross-functional teams to inform product strategy and go/no-go decisions.
What We're Looking For
Required:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
  • Hands-on expertise with medical imaging workflows and integration - DICOM/PACS, radiology pipelines, and integrating ML models into clinical systems.
  • Proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow).
  • Practical MLOps and model evaluation skills: building reproducible evaluation pipelines, model validation/monitoring, Docker, and Kubernetes.
  • Several years of experience in ML evaluation or medical imaging AI.

Nice to Have:
  • Healthcare industry experience.
  • Familiarity with regulatory considerations for medical AI, including FDA submissions such as 510(k) or De Novo.
Compensation & Benefits
  • Salary: $150,000 - $230,000 USD annually
  • Visa sponsorship is not available for this role.
Location
This is a full-time, on-site role based in San Francisco, CA. Remote work is not available.

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