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Remote Embedded Machine Learning Jobs in Milwaukee, WI

ABB

OEM Sales Director-Machinery

New Berlin, WI · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

ABB

OEM Sales Director-Machinery

New Berlin, WI · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

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All JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Milwaukee, WI

Remote Embedded Machine Learning information

See Milwaukee, WI salary details

$69K

$151.1K

$171.4K

How much do remote embedded machine learning jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote embedded machine learning in Milwaukee, WI is $151,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,600.00 and $170,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Embedded Machine Learning Engineer, and why are they important?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are popular job titles related to Remote Embedded Machine Learning jobs in Milwaukee, WI? For Remote Embedded Machine Learning jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Milwaukee, WI look for? The top searched job categories for Remote Embedded Machine Learning jobs in Milwaukee, WI are:
Remote Embedded Machine Learning jobs near you

Legal Professionals - AI Training - Milwaukee, US

Prolific Academic Ltd

Milwaukee, WI • Remote

$100/hr

Full-time

Posted 8 days ago

Job description

Legal Professionals - AI Training About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Legal Subject Matter Experts to join our Expert Network to help train and evaluate cutting-edge AI models using professional legal insight. If you have a legal background, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific's Legal Projects as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $100 per hour, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Legal Background: you have a legal degree, professional qualification (JD, LLB, LLM), or relevant experience as a paralegal or legal analyst.
  • Attention to Detail: the ability to review complex documentation and identify key nuances or inaccuracies.
  • Critical Thinking: a "legal mind" capable of providing logical, fact-based reasoning to support your answers.
  • Reliability: the ability to work independently on ad hoc, remote assignments that fit around your existing commitments.
What you'll be doing in the role
  • Document Evaluation: reviewing various professional, regulatory, or B2B documents to verify information accuracy.
  • AI Model Guidance: answering specific questions based on document content to help AI models understand technical or formal language.
  • Fact-Checking & Validation: ensuring that the outputs generated by AI systems align with professional standards and logical legal frameworks.
  • Knowledge Sharing: providing expert feedback to help bridge the gap between human expertise and machine learning.
Key Technologies
  • Prolific Platform: the secure workspace where you will access and complete your assignments.
  • LinkedIn: used solely for a quick professional eligibility check during onboarding.
  • Standard Web Tools: secure access to document-viewing software as required by specific projects.
Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific's use of your personal information.