2

Remote Embedded Ai Jobs in Utah (NOW HIRING)

Remote Employment Type: Full-time Advertised Compensation: Base $26.50/hour, OTE $80K - 125K ... through Embedded Insurance Agency, LLC the licensed operating subsidiary of Salty Ai Inc. Role ...

... PSL), embedded within our mergers and acquisitions practice group. This is a high-impact, non ... This position is available on a hybrid or fully remote basis. About the Role As PSL, you will serve ...

Your cameras become the sensors and our AI software embedded inside the Blackbox watches the ... Design systems for remote device provisioning, configuration, and software updates * Improve ...

Compliance Manager

Salt Lake City, UT · On-site +1

$129K - $140K/yr

In this role, you'll be the embedded compliance authority across Mission Lane's fraud, collections ... You can hold your own in a conversation about AI-driven collections models or evolving contacting ...

Remote Embedded Ai information

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.

What are some common challenges faced by remote embedded AI engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

What are the most commonly searched types of Embedded Ai jobs in Utah?

The most popular types of Embedded Ai jobs in Utah are:

What cities in Utah are hiring for Remote Embedded Ai jobs?

Cities in Utah with the most Remote Embedded Ai job openings:

Fulfillment Specialist

Embedded Insurance

Park City, UT • Remote

$26.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Job description

Job Title: Fulfillment Specialist

Location: Remote
Employment Type: Full-time
Advertised Compensation: Base $26.50/hour, OTE $80K - 125K, uncapped commissions

About Salty:
Salty is an intelligent AI-native insurance provider built for households with car payments. Salty continuously works for customers across the entire insurance journey. Salty finds the right policy, monitors rates and coverage, and advocates when a claim is on the line.


The premise is simple: insurance sucks, yet everyone needs it.


Salty makes it effortless.


Employment is offered through Embedded Insurance Agency, LLC the licensed operating subsidiary of Salty Ai Inc.


Role Overview:

As a Fulfillment Specialist at Salty, you will meet customers at a moment that matters to bring coverage and savings through our agency offering. Because our technology builds quotes from a customer's existing insurance information, you'll spend more time engaging clients and closing sales and less time on data entry and quoting. You'll also identify and cross-sell other insurance lines, to deliver increased savings and value to our customers.


Key Responsibilities:

  • Make outbound sales calls to warm prospects when we've identified insurance savings.
  • Respond to inbound leads and follow up with prospective customers via phone, email, and SMS.
  • Educate customers on auto insurance products, coverage options, and agency value.
  • Identify cross-selling opportunities and actively offer additional lines (e.g., home insurance).
  • Assume the sale, comfortable speaking assumptively and working to close.
  • Be proactive in meeting or exceeding monthly sales targets while maintaining exceptional customer service.
  • Detailed utilization of CRM to manage leads, track pipeline activity.
  • Adherence to all compliance guidelines


Requirements:

  • Active and maintained P&C license (Property & Casualty) in current state of residence required.
  • 3+ years of experience in auto insurance sales (high volume call-center experience preferred).
  • Strong communication and persuasion skills.
  • Comfortable using multiple systems simultaneously, including CRM, quoting, and rating tools.
  • Self-motivated and goal-oriented.
  • Ability to thrive in a fast-paced, fully remote environment, managing a full pipeline effectively.


Preferred Qualifications:

  • Experience with digital-first insurance platforms or insurtech environments is a big plus.
  • Familiarity with comparative raters and CRM tools (e.g., EZLynx, AgencyZoom, Salesforce)
  • Bilingual (English/Spanish) a plus.


What We Offer:

  • Dynamic, fast-paced environment with opportunities for professional growth
  • Access to industry-leading tools and resources that support your success
  • Competitive base salary + uncapped bonus opportunity
  • Incredible benefits - the best in the industry BY FAR:
    • Health, dental, vision paid at 89% (individual or family)
    • 401(k) with substantial matching
    • Generous PTO
    • Remote work flexibility
    • Career growth in a fast-scaling insuretech
    • Multi-state licensing


Schedule:

  • Full-time
  • Rotating shifts, including some evenings and weekends


Who You Are:

You're a licensed insurance professional who enjoys helping customers find the right coverage with clarity and confidence. Tech-savvy and adaptable, you're comfortable using modern sales tools and thrive in a fast-paced, goal-oriented environment. You bring strong communication skills, a self-motivated attitude, and a genuine commitment to delivering an exceptional customer experience.