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Entry Level Medical Ai Trainer information

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$47K

$62.2K

$77.5K

How much do entry level medical ai trainer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level medical ai trainer in the United States is $62,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $74,500.00 per year, depending on experience, location, and employer.

What is an entry level medical AI trainer?

An Entry Level Medical AI Trainer is a professional who helps improve artificial intelligence (AI) systems used in healthcare by labeling and annotating medical data, such as images, text, or patient records. They work closely with data scientists and engineers to ensure that AI models are trained on accurate and high-quality information. This role typically requires a basic understanding of medical terminology and strong attention to detail. It is ideal for individuals looking to start a career at the intersection of healthcare and technology.

What are the key skills and qualifications needed to thrive as an entry level medical AI trainer, and why are they important?

To thrive as an Entry Level Medical AI Trainer, you need a foundational understanding of medical terminology, data annotation techniques, and a bachelor’s degree in a health, science, or technical field. Familiarity with data labeling tools, basic programming concepts, and platforms like Python or annotation software is often required. Detail orientation, critical thinking, and effective communication are valuable soft skills for this position. These skills ensure accurate data preparation, facilitate collaboration with technical teams, and support the development of reliable medical AI systems.

What are some common challenges faced by entry level medical AI trainers, and how can they be addressed?

Entry Level Medical AI Trainers often encounter challenges such as understanding complex medical terminology and effectively annotating clinical data for machine learning models. These challenges can be addressed by thorough onboarding, continuous learning through medical glossaries, and frequent collaboration with medical professionals and data scientists. Clear communication within interdisciplinary teams and asking questions early can help trainers avoid misunderstandings and ensure high-quality data labeling. Many organizations also provide ongoing training sessions to keep trainers updated on new tools and best practices.

What is the difference between Entry Level Medical Ai Trainer vs Medical Data Annotator?

AspectEntry Level Medical Ai TrainerMedical Data Annotator
Required CredentialsHigh school diploma or equivalent; some roles prefer healthcare or technical certificationsHigh school diploma; training in annotation tools often provided
Work EnvironmentHealthcare tech companies, AI development labs, remote or office-basedData labeling teams, remote or onsite
Employer & Industry UsageAI healthcare startups, medical tech firms, research institutionsMedical research organizations, AI companies, data service providers

While both roles involve working with medical data, the Entry Level Medical Ai Trainer focuses on training AI models by providing labeled data and guidance, often requiring some healthcare knowledge. In contrast, Medical Data Annotators primarily label and categorize data without the training component. Both roles are essential in developing accurate medical AI systems but differ in responsibilities and skill requirements.

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Cities with the most Entry Level Medical Ai Trainer job openings:

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The most popular types of Medical Ai Trainer jobs are:

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Entry Level Medical Ai Trainer jobs near you
Infographic showing various Entry Level 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 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $62,249 per year, or $29.9 per hour.

Entry Level Medical Billing Assistant

Revel Staffing

Cleveland, OH

$50K - $75K/hr

Full-time

Medical

Posted 27 days ago

Job description

The Medical Billing Assistant will help prepare and review insurance claims, assist with basic billing and coding tasks, update patient and insurance information, and support the administrative workflows that help keep clinical operations running smoothly. This role requires strong attention to detail, professionalism, and a willingness to learn.

Key Responsibilities
  • Assist with translating medical procedures and diagnoses into standardized billing and coding formats
  • Prepare and submit insurance claims accurately and on time
  • Review claims for completeness and help identify or correct coding and billing errors
  • Communicate with patients regarding billing questions, payment options, and payment plans
  • Verify insurance information and update patient billing records
  • Work closely with medical providers and administrative teams to ensure accurate claim documentation
  • Maintain confidentiality and follow HIPAA, privacy, and company compliance guidelines
  • Perform general administrative tasks including data entry, document processing, scanning, and file management
  • Support billing, reimbursement, coding, and claims workflows as assigned
  • Help maintain organized and accurate billing records
Required Qualifications
  • High school diploma or equivalent
  • Active HIPAA compliance / training credential required
  • Strong attention to detail and accuracy
  • Excellent communication and customer service skills
  • Organized, dependable, and eager to learn
  • Ability to manage multiple tasks in a structured office environment
  • Basic computer skills and comfort with data entry
  • Ability to handle confidential patient and billing information with professionalism
Benefits & Career Growth
  • On-the-job training
  • Opportunities for advancement within the organization
  • Supportive and professional work environment
  • Health insurance options
  • Long-term career path in healthcare administration
Ideal Candidate

The ideal candidate is reliable, detail-oriented, and interested in building a career in healthcare administration. This person should be comfortable learning billing and coding processes, communicating with patients professionally, and maintaining accuracy when working with claims, records, and confidential information.