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Mobile Machine Learning Jobs in Tennessee (NOW HIRING)

Adidev Technologies

Civil Engineer

Nashville, TN · Hybrid

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

Adidev Technologies Inc

Civil Engineer

Nashville, TN · Hybrid

$45 - $60/hr

We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities ...

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All JobsMobile Machine Learning JobsMobile Machine Learning Jobs in Tennessee

Mobile Machine Learning information

See Tennessee salary details

$11

$22

$108

How much do mobile machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for mobile machine learning in Tennessee is $22.99, according to ZipRecruiter salary data. Most workers in this role earn between $13.08 and $18.32 per hour, depending on experience, location, and employer.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What are some common challenges faced by mobile machine learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What are the key skills and qualifications needed to thrive as a mobile machine learning engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are the most commonly searched types of Machine Learning jobs in Tennessee?

The most popular types of Machine Learning jobs in Tennessee are:

What are popular job titles related to Mobile Machine Learning jobs in Tennessee?

For Mobile Machine Learning jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Mobile Machine Learning jobs in Tennessee look for?

The top searched job categories for Mobile Machine Learning jobs in Tennessee are:

What cities in Tennessee are hiring for Mobile Machine Learning jobs?

Cities in Tennessee with the most Mobile Machine Learning job openings:

Mobile Machine Learning jobs near you
Infographic showing various Mobile Machine Learning job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $47,809 per year, or $23 per hour.

Mobile Software Engineer (part time work from home) - AI Trainer

Chattanooga, TN • Remote

DataAnnotation
Computing Infrastructure Providers, Data Processing, Web Hosting • 10K+ employees
Learn more about DataAnnotationexternal

$50 - $100/hr

Contractor

Posted 13 days ago

Job description

About the job:

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an existing Coder (this is an opportunity to work with us as an independent contractor) to help advance AI development. As a DataAnnotation’s coder, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

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 coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots coding challenges and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Experience with algorithms, data structures, and debugging workflows
  • A current, in progress, or completed Bachelor's is preferred but not required

Note:

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

#coder

Working at DataAnnotation

Perks for workers

  • Work From Anywhere

  • Set Your Own Hours

  • Competitive Pay

  • Learn Valuable AI Skills

  • No Meetings. No Commute.

  • Work on Your Schedule

  • Make a Real-World Impact

What to expect from working at DataAnnotation

From DataAnnotation

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