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Mobile Machine Learning Jobs in Mosinee, WI (NOW HIRING)

Domtar

Health & Safety Professional

Rothschild, WI · On-site

... learning and growth. The location in Rothschild, (Wisconsin, United States), is seeking talent to ... Conduct routine safety inspections and audits across pulp mill, paper machines, utilities, recovery ...

Domtar

Health & Safety Professional

Rothschild, WI · On-site

... learning and growth. The location in Rothschild, (Wisconsin, United States), is seeking talent to ... Conduct routine safety inspections and audits across pulp mill, paper machines, utilities, recovery ...

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Mobile Machine Learning information

See Mosinee, WI salary details

$12

$25

$118

How much do mobile machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for mobile machine learning in Mosinee, WI is $25.02, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $19.95 per hour, depending on experience, location, and employer.

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 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 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 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.

Mobile Machine Learning jobs near you
Mobile App Developer - AI Trainer

Mobile App Developer - AI Trainer

DataAnnotation

Wausau, WI • On-site, Remote

$60/hr

Full-time

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

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for proficient programmers to help advance AI development. As a member of DataAnnotation's coding team, 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. Some team members fit this work alongside a full‐time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.

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. Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.

Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour. Opportunities for higher‐paying projects are available with strong performance.

Impact: help shape the future of AI technologies. Responsibilities Design and solve diverse coding problems used to train AI systems with an emphasis on Android development. Write clear, high‐quality code snippets and detailed explanations.

Evaluate AI‐generated code for accuracy, performance, and clarity. Provide feedback that directly shapes the next generation of AI models. Qualifications Fluency in English (native or bilingual level).

Preferred experience in Kotlin. Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and grammar skills.

A bachelor's degree (completed or in progress). Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred. 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. #J-18808-Ljbffr

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