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Ai Model Jobs in Tennessee (NOW HIRING)

AI SPECIALIST

Knoxville, TN

$15.50 - $20.50/hr

This role focuses on identifying opportunities for AI integration, developing proof-of-concept models, and ensuring alignment with clinical and operational goals that enhance clinical workflows ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

Programmer - AI Trainer

Chattanooga, TN · On-site +1

$50 - $100/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging ...

Programmer - AI Trainer

Nashville, TN · On-site +1

$50 - $100/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging ...

Senior AI Engineer

Kingsport, TN · On-site

$99K - $136K/yr

The company's innovation-driven growth model takes advantage of world-class technology platforms ... As an AI Engineer you will lead the design, development and adoption of new technology and ...

Showing results 41-60

Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

What are the key skills and qualifications needed to thrive as an AI model, and why are they important?

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What are popular job titles related to Ai Model jobs in Tennessee?

For Ai Model jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Ai Model jobs in Tennessee look for?

The top searched job categories for Ai Model jobs in Tennessee are:

Infographic showing various Ai Model job openings in Tennessee as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

$15.50 - $20.50/hr

Full-time

Re-posted 10 hours ago


Job description

AI Specialist, IT Care Management Support

Full Time, 80 Hours Per Pay Period, Day shift

Covenant Health Overview:

Covenant Health is the region’s top-performing healthcare network with 10 hospitals, outpatient and specialty services, and Covenant Medical Group, our area’s fastest-growing physician practice division. Headquartered in Knoxville, Covenant Health is a community-owned integrated healthcare delivery system and the area’s largest employer. Our more than 11,000 employees, volunteers, and 1,500 affiliated physicians are dedicated to improving the quality of life for the more than two million patients and families we serve every year. Covenant Health is the only healthcare system in East Tennessee to be named a Forbes “Best Employer” seven times. 

Position Summary: 

Under general direction, the AI Specialist serves as a technical and strategic contributor in the development, integration, and evaluation of data analytics and artificial intelligence initiatives within the Covenant Health system. This role focuses on identifying opportunities for AI integration, developing proof-of-concept models, and ensuring alignment with clinical and operational goals that enhance clinical workflows, operational efficiency, and patient outcomes through data analytics and modeling. The AI Specialist collaborates with cross-functional teams to ensure AI solutions are ethical, secure, and aligned with organizational goals.

This position is looking to expand on Covenant Health's growing AI analytics opportunities through large language models (LLMs) and AI agents. Some experience working with AI analytics and data modeling with a background in python and other coding models is preferred. This position will also require some minor rotational on-call after-hours and day shift coverage for help desk tickets, dealing with various issues and needs from end users for all of Covenant Health's data reporting needs.

Some experience working with AI analytics and data modeling with a background in python and other coding models preferred. Position will require some minor on-call rotational coverage and day shift coverage for help desk ticket responses for all of Covenant Health's data reporting needs. This position will report to Ben Grace, Directory of IT Acute Clinical Informatics.

 


  • Analyze, design, and implement AI models for healthcare applications such as predictive analytics, ambient listening, and clinical decision support and business process optimization.
  • Develop and tests machine learning models and algorithms tailored to healthcare and business applications such as predictive analytics, natural language processing, and image recognition.
  • Collaborates with clinicians, IT, and business stakeholders to identify use-cases and data sources for AI solutions.
  • Develop and maintain AI pipelines, including data preprocessing, model training, validation, and deployment.
  • Ensures compliance with healthcare regulations, data privacy standards, and ethical guidelines in AI development and deployment activities.
  • Evaluate feasibility and impact of proposed AI solutions on clinical workflows, business processes, and patient outcomes.
  • Prepare documentation including AI workflows, model specifications, validation reports, and user guides.
  • Participates in the design and maintenance of AI-related datasets and infrastructure, ensuring data integrity and security.
  • Provides technical guidance and training to staff on AI tools, concepts and best practices.
  • Monitor and optimize deployed AI models for performance accuracy and recommends updates or retraining as needed.
  • Stays current with advancements in AI, machine learning, business analytics, and healthcare informatics.
  • Evaluate vendor proposals for AI tools and services, ensuring alignment with technical, regulatory, and organizational standards.
  • Contributes to strategic planning for AI integration across clinical, operational, and administrative domains.
  • Communicate complex technical concepts to diverse stakeholders to facilitate understanding and adoption of AI solutions.
  • Follows policies, procedures, and safety standards. Completes required education assignments annually. Works toward achieving goals and objectives, and participates in quality improvement initiatives as requested.
  • Performs other duties as assigned.

Minimum Education:           

Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Equivalent experience with specialized AI training may be considered.

Minimum Experience:         

Minimum of three (3) years’ experience in AI or machine learning development.

Licensure Requirement:      

None.