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Medical Ai Trainer Jobs (NOW HIRING)

Evaluate AI-generated medical necessity determinations and clinical review outputs for accuracy and ... Annotate AI outputs and provide structured clinical feedback to support AI training datasets

... medical practice, or health system . * Your organisation has 200 or fewer employees in the United ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Evaluate AI-generated medical necessity determinations, clinical review outputs, and UM decision ... Annotate AI outputs and provide structured clinical feedback to support AI training datasets

... improve AI-generated responses related to healthcare operations, coding/billing, utilization ... Seeking professionals with backgrounds in: • Medical Coding/Billing • CDI/HIM • Revenue Cycle ...

Evaluate AI-generated HCC coding assignments and risk adjustment recommendations for clinical ... Review medical records to ensure complete and accurate capture of HCC-eligible conditions supported ...

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Medical Ai Trainer information

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How much do medical ai trainer jobs pay per hour?

As of Aug 23, 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 is a Medical AI Trainer?

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 does a Medical AI Trainer do?

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 are the key skills and qualifications needed to thrive as a Medical AI Trainer?

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:

Infographic showing various Medical Ai Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $56,233 per year, or $27 per hour.

Claims Processing Manager - AI Trainer

Mercor

Houston, TX • Remote

$80/hr

Full-time

Posted 4 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Medical Billing Manager
Type: Contract
Compensation: $80/hour
Location: Remote

Role Responsibilities

  • Oversee end-to-end medical billing and claims submission operations across professional fee and/or facility billing environments.
  • Evaluate AI-generated billing outputs, claim edits, and coding validations for accuracy and payer compliance.
  • Manage claims submission workflows including electronic claim generation, clearinghouse edits, and payer-specific billing requirements.
  • Monitor clean claim rates, rejection rates, and first-pass acceptance rates. Develop improvement strategies.
  • Coordinate with coding, CDI, and collections teams to resolve billing edits and claim rejections.
  • Ensure compliance with CMS billing guidelines, HIPAA 837 transaction standards, and payer-specific billing rules.
  • Annotate AI outputs and provide structured feedback to support AI training datasets.

Qualifications

Must-Have

  • 5+ years of experience in medical billing and claims management, with at least 2 years in a management role.
  • Deep knowledge of professional fee (CMS-1500/837P) and/or facility (UB-04/837I) billing requirements.
  • Expertise in HIPAA 837 transaction standards, clearinghouse operations, and payer-specific billing rules.
  • Strong understanding of Medicare, Medicaid, and commercial payer billing requirements.
  • Proficiency with billing platforms (Epic, Athenahealth, AdvancedMD, or equivalent) and clearinghouse tools.
  • Exceptional written and verbal English communication skills.
  • High attention to detail with the ability to identify billing errors and compliance issues in AI-generated outputs.

Preferred

  • CPC, CCS, CHFP, or CRCR certification.
  • Experience with automated billing platforms and RCM technology implementations.
  • Background in multi-specialty physician group, hospital, or health system billing operations.
  • Familiarity with AI tools and comfort evaluating AI-generated billing content.
  • Experience with payer contract interpretation and billing compliance program management.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


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