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Remote Ai Engineer Jobs in Tennessee (NOW HIRING)

CoorsTek

AI Deployment Engineer

Oak Ridge, TN · On-site +1

Salary range is subject to location, as this role can be remote. Roles and Responsibilities ... AI use. * Support citizen developers and solution owners by establishing guardrails, providing ...

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

Siemens

$18 - $50/hr

Comfortable working in a fully remote environment within the United States of America ... AI technologies. * Familiarity with digital engineering, PLM, or engineering data management ...

New

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$23

$48

$69

How much do remote ai engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote ai engineer in Tennessee is $48.68, according to ZipRecruiter salary data. Most workers in this role earn between $39.28 and $56.49 per hour, depending on experience, location, and employer.

What is a remote AI engineer?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a remote AI engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

What are the most commonly searched types of Ai Engineer jobs in Tennessee?

The most popular types of Ai Engineer jobs in Tennessee are:

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

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

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

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

What cities in Tennessee are hiring for Remote Ai Engineer jobs?

Cities in Tennessee with the most Remote Ai Engineer job openings:

Remote Ai Engineer jobs near you
Infographic showing various Remote Ai Engineer job openings in Tennessee as of August 2026, with employment types broken down into 2% Internship, 79% Full Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,247 per year, or $48.7 per hour.

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

Cookeville, TN • On-site, Remote

Contractor

Re-posted 3 days ago

Job description

About Us
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
  • Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
  • Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate PPO models into production systems.
  • Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
  • Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
  • Build robust pipelines for training, evaluation, and deployment of RL models.
  • Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
  • Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
  • Experience:
    • 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
    • Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
    • Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
  • Technical Skills:
    • Strong programming skills in Python; familiarity with Rust or other languages is a plus.
    • Proficiency in designing and running RL experiments in simulated or real-world environments.
    • Experience with distributed training systems for reinforcement learning.
    • Solid understanding of policy gradient methods and reinforcement learning theory.
  • Soft Skills:
    • Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
    • Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
  • Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
  • Familiarity with OpenAI Gym, RLlib, or other RL development environments
  • Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
  • Remote work location.
  • Competitive salary.
  • Flexible work schedule.
  • Opportunities for professional development and research contributions
  • Access to state-of-the-art resources and tools for AI development.
  • The chance to work on groundbreaking projects with a talented and passionate team.
Employment Type: CONTRACTOR

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