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Remote Embedded Machine Learning Jobs in Arkansas

Senior, Software Engineer

Fayetteville, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Senior, Software Engineer

Gravette, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Senior, Software Engineer

Pea Ridge, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Senior, Software Engineer

Greenland, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Senior, Software Engineer

Springdale, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Senior, Software Engineer

Johnson, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Senior, Software Engineer

Lowell, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Senior, Software Engineer

Centerton, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Senior, Software Engineer

Goshen, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Senior, Software Engineer

Cave Springs, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

Senior, Software Engineer

Bentonville, AR · On-site +1

$90K - $180K/yr

This position is not eligible for remote work. Role summary: As a Senior Software Engineer at ... LLMs, machine learning, Cassandra, Kafka, Apache Spark, and GCP. The team drives innovation to ...

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Showing results 1-20

Remote Embedded Machine Learning information

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 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 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 the most commonly searched types of Embedded Machine Learning jobs in Arkansas? The most popular types of Embedded Machine Learning jobs in Arkansas are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Arkansas? For Remote Embedded Machine Learning jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Arkansas look for? The top searched job categories for Remote Embedded Machine Learning jobs in Arkansas are:
What cities in Arkansas are hiring for Remote Embedded Machine Learning jobs? Cities in Arkansas with the most Remote Embedded Machine Learning job openings:
Web Application Developer - AI Trainer

Web Application Developer - AI Trainer

DataAnnotation

Little Rock, AR • On-site, Remote

$60/hr

Full-time

Posted 22 days ago


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