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Entry Level Medical Ai Trainer Jobs (NOW HIRING)

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

Showing results 21-40

Entry Level Medical Ai Trainer information

See salary details

$47K

$62.2K

$77.5K

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

As of Aug 11, 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 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.

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 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 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.
More about Entry Level Medical Ai Trainer jobs
What cities are hiring for Entry Level Medical Ai Trainer jobs? Cities with the most Entry Level 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 Entry Level Medical Ai Trainer jobs? States with the most job openings for Entry Level Medical Ai Trainer jobs include:
What job categories do people searching Entry Level Medical Ai Trainer jobs look for? The top searched job categories for Entry Level Medical Ai Trainer jobs are:
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 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $62,249 per year, or $29.9 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Newport News, VA • Remote

$70 - $90/hr

Part-time

Posted 13 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.