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Remote Ai Infrastructure Engineer Jobs in Mesa, AZ

EDB

Senior IT Infrastructure Engineer

Phoenix, AZ · Remote

$107.70K - $146.50K/yr

A Little About Us EDB provides a data and AI platform that enables organizations to harness the ... This role is 100% remote for candidates based in EST or CST only We are looking for a confident ...

VDart

Infrastructure Engineer

Chandler, AZ · Remote

$109.80K - $144K/yr

Atlanta, GA (Remote is fine) Role Overview We are seeking an experienced nCino Developer with strong Hands-on expertise in the commercial loan origination process The ideal candidate will have deep ...

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Remote Ai Infrastructure Engineer information

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$46.1K

$126.1K

$180.6K

How much do remote ai infrastructure engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for remote ai infrastructure engineer in Mesa, AZ is $126,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $139,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote AI Infrastructure Engineer, you need expertise in cloud computing, distributed systems, and software engineering, often supported by a degree in computer science or a related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, along with knowledge of CI/CD pipelines and AI/ML frameworks. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for success in this role. These skills ensure robust, scalable AI infrastructure that supports rapid innovation and seamless collaboration across distributed teams.

What are some common challenges faced by Remote AI Infrastructure Engineers, and how can they be addressed?

Remote AI Infrastructure Engineers often encounter challenges such as managing distributed systems, ensuring robust data pipelines, and maintaining high system reliability across different time zones. Collaboration with cross-functional teams can require clear communication and effective use of remote tools. To address these challenges, it's important to establish strong documentation practices, schedule regular check-ins, and utilize automated monitoring and deployment solutions. Staying proactive and adaptable helps ensure seamless infrastructure performance and team alignment.

What is a Remote AI Infrastructure Engineer?

A Remote AI Infrastructure Engineer is a professional who designs, builds, and maintains the systems and tools necessary to support artificial intelligence (AI) projects, all while working remotely. Their responsibilities often include developing and optimizing cloud or on-premise infrastructure, ensuring scalability, managing data pipelines, and supporting machine learning workflows. They work closely with data scientists and software engineers to ensure AI models can be efficiently trained, deployed, and monitored in production environments. The remote aspect allows them to perform these tasks from anywhere, using collaboration tools and cloud platforms.
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Remote Ai Infrastructure Engineer jobs near you
Remote Web Developer & AI Training Engineer

Remote Web Developer & AI Training Engineer

DataAnnotation

Phoenix, AZ • Remote

$60/hr

Full-time

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

Job description

A remote AI development firm seeks proficient programmers to join their team and contribute to innovative AI solutions. In this flexible role, you can choose projects and work hours, with pay up to $60 USD per hour. Responsibilities include coding tasks and evaluating AI-generated code, with a focus on diverse programming challenges.

Candidates should be fluent in English and have experience in popular programming languages like Kotlin and JavaScript. This position promotes significant impact in shaping AI technologies. #J-18808-Ljbffr

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