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Medical Annotation Jobs in Tennessee (NOW HIRING)

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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Medical Annotation information

See Tennessee salary details

$43.1K

$70.3K

$94.8K

How much do medical annotation jobs pay per year?

As of Aug 12, 2026, the average yearly pay for medical annotation in Tennessee is $70,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,700.00 per year, depending on experience, location, and employer.

What is a medical annotation?

A Medical Annotation job involves labeling and categorizing medical data, such as patient records, images, or clinical notes, to train AI models in healthcare applications. Annotators ensure that data is accurately tagged for use in machine learning, often working with radiology scans, electronic health records, or biomedical texts. This role requires attention to detail and may involve domain knowledge in medicine or life sciences to ensure high-quality annotations.

What are the key skills and qualifications needed to thrive in the medical annotation position, and why are they important?

To thrive in Medical Annotation, you need a strong background in life sciences or health care, familiarity with medical terminology, and acute attention to detail. Experience with annotation platforms, electronic health records (EHRs), and possibly certifications in medical coding or data annotation are often expected. Excellent communication, analytical thinking, and the ability to follow structured guidelines are standout soft skills. These competencies are essential to ensure the accuracy, consistency, and reliability of annotated medical data used in research, AI training, or clinical analysis.

What are the typical daily responsibilities of someone working in medical annotation?

In Medical Annotation, your day-to-day work often involves reviewing and labeling various types of medical data, such as clinical notes, radiology images, or laboratory reports, according to strict guidelines. You may collaborate with data scientists, healthcare professionals, or other annotators to ensure accuracy and resolve ambiguities. Attention to detail is crucial, as your annotations directly support the training of AI systems or research projects. Regular feedback sessions and audits are common to maintain high-quality standards. This role offers a mix of independent work and teamwork, fostering both focus and professional growth.

What are the most commonly searched types of Medical Annotation jobs in Tennessee? The most popular types of Medical Annotation jobs in Tennessee are:
What job categories do people searching Medical Annotation jobs in Tennessee look for? The top searched job categories for Medical Annotation jobs in Tennessee are:
Infographic showing various Medical Annotation job openings in Tennessee 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, 2% Hybrid, and 2% Remote job distribution, with an average salary of $70,257 per year, or $33.8 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Chattanooga, TN • Remote

$70 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.


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.