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Remote Embedded Ai Jobs in Spring, TX (NOW HIRING)

AI Automation Engineer -Remote

The Woodlands, TX · On-site +1

$202.38K - $234.20K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

AI Automation Engineer -Remote

Houston, TX · On-site +1

$202.38K - $234.20K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive ... This role is for someone who wants to be deeply embedded in the business.You will:Keep the CEO ...

Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive ... This role is for someone who wants to be deeply embedded in the business.You will:Keep the CEO ...

Analyst, Growth

Houston, TX · On-site +1

$75K - $85K/yr

... embedded payment acceptance, marketing technology, and customer experience applications. Learn more ... Eagerness to use AI tools to work more efficiently and improve output quality * A self-starter with ...

Analyst, Growth

The Woodlands, TX · On-site +1

$75K - $85K/yr

... embedded payment acceptance, marketing technology, and customer experience applications. Learn more ... Eagerness to use AI tools to work more efficiently and improve output quality * A self-starter with ...

Technical Product Manager II

Houston, TX · Remote

$159.50K - $184.30K/yr

Remote, Central Time; TX Preferred | Travel: 0 - 25% We're seeking a Technical Product Manager II ... You will be embedded in the operational reality of our fulfillment network, using data exploration ...

Remote Embedded Ai information

See Spring, TX salary details

$62.3K

$136.5K

$154.8K

How much do remote embedded ai jobs pay per year?

As of May 30, 2026, the average yearly pay for remote embedded ai in Spring, TX is $136,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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

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 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 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 popular job titles related to Remote Embedded Ai jobs in Spring, TX? For Remote Embedded Ai jobs in Spring, TX, the most frequently searched job titles are:
What cities near Spring, TX are hiring for Remote Embedded Ai jobs? Cities near Spring, TX with the most Remote Embedded Ai job openings:
Infographic showing various Remote Embedded Ai job openings in Spring, TX as of May 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 33% Physical, 3% Hybrid, and 64% Remote job distribution, with an average salary of $136,494 per year, or $65.6 per hour.
AI Automation Engineer -Remote

AI Automation Engineer -Remote

Quora

The Woodlands, TX • On-site, Remote

$202.38K - $234.20K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago


Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

About the Team and Role:

We’re hiring our first AI Automation Engineer to lead how we apply AI internally across the company. This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal will be to automate as much work as possible, increasing our productivity and improving the quality of our products, decision-making, and internal processes.

You’ll work closely with teams across the organization to identify high-impact problems and solve them, continually assessing new potential as frontier model capabilities constantly improve. With access to a wide range of state-of-the-art models via Poe, and an organization focused on AI, you’ll be well placed to experiment, iterate quickly, and launch internal services.

This role is ideal for an engineer who’s curious, pragmatic, and motivated by real-world impact - not just research or prototypes. You’ll lay the groundwork for how we approach internal AI applications, with a focus on utility, trust, and constant adaptation.

Responsibilities:
  • Develop and maintain internal tools and systems that automate existing work and increase employee productivity using AI
  • Use AI as much as possible to automate your own process of creating this software
  • Collaborate with teams across the business to understand pain points and identify high-impact automation or process improvement opportunities
  • Rapidly prototype small AI-enabled utilities or automations and deploy them into production swiftly
  • Supervise the choices AI is making in areas like architecture, libraries, or technologies, and be ready to debug complex systems across frontend and backend services when AI cannot
  • Act as a high-trust owner of systems that may handle sensitive data or business-critical logic
  • Work cross-functionally to ensure tools are adopted and deliver obvious value
  • Stay updated on the latest models and tools, and apply that knowledge to your work
Minimum Requirements:
  • Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • Experience creating LLM-backed tools involving prompt engineering and automated evals
  • 5+ years of experience in full-stack development with strong skills in Python, React and JavaScript
  • Excellent debugging skills and the ability to manage multiple projects simultaneously
  • High level of ownership and accountability, especially with sensitive or business-critical data
  • Strong communication skills and a collaborative mindset
  • Comfortable working in a fast-paced, sometimes ambiguous environment with shifting priorities
  • Experience working cross-functionally with teams outside of product development
  • A natural collaborator who enjoys being a partner and creating utility for others

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $155,656 - $225,160 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $202,383 - $234,201 CAD + equity + benefits. For all other locations in Canada, the salary range is $188,891 - $218,588 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice