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Remote Ai Infrastructure Engineer Jobs in Florida

YO AI Labs

Infrastructure Expert - Remote

Miami, FL · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

Rumble

Senior Infrastructure Engineer - DDOS

Sarasota, FL · Remote

$132K - $158K/yr

About RUM Group Inc. RUM Group Inc. is an AI infrastructure and video company. Its Quake AI ... Experience with BGP, routing policy, traffic engineering, and mitigation techniques such as remote ...

Rumble

Senior Infrastructure Engineer - DDOS

Miami, FL · Remote

$132K - $158K/yr

About RUM Group Inc. RUM Group Inc. is an AI infrastructure and video company. Its Quake AI ... Experience with BGP, routing policy, traffic engineering, and mitigation techniques such as remote ...

YO AI Labs

AI/ML Engineer - Remote

Miami, FL · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure.

Mercor

Infrastructure Specialist

Miami, FL · Remote

$75 - $110/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps and improve AI model performance in cloud infrastructure , Kubernetes operations ...

Phsorg

$87K - $149K/yr

Remote AI Automation Developer Summary: Build your Career. Make a Difference. Presbyterian is ... Collaborate with security, infrastructure, application, and integration teams to ensure automation ...

YO AI Labs

DevOps Expert - Remote

Miami, FL · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform ...

YO AI Labs

DevOps Engineer - Remote

Miami, FL · Remote

$50 - $150/hr

Remote Job Overview We are seeking experienced DevOps Engineers to create and evaluate production-style infrastructure and automation tasks for next-generation AI systems. You will work on CI/CD ...

YO AI Labs

Mental Health Expert - Remote

Miami, FL · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure.

TMTG

Senior AI Engineer

Sarasota, FL · On-site +1

$118K - $155K/yr

Senior AI Engineer Remote - US only Full-time Are you passionate about building AI products people ... You won't be maintaining someone else's pipeline - you'll be standing up the core AI infrastructure ...

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Remote Ai Infrastructure Engineer information

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.

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

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 are the most commonly searched types of Ai Infrastructure Engineer jobs in Florida?

The most popular types of Ai Infrastructure Engineer jobs in Florida are:

What are popular job titles related to Remote Ai Infrastructure Engineer jobs in Florida?

For Remote Ai Infrastructure Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Ai Infrastructure Engineer jobs in Florida look for?

The top searched job categories for Remote Ai Infrastructure Engineer jobs in Florida are:

What cities in Florida are hiring for Remote Ai Infrastructure Engineer jobs?

Cities in Florida with the most Remote Ai Infrastructure Engineer job openings:

Remote Ai Infrastructure Engineer jobs near you
Infographic showing various Remote Ai Infrastructure Engineer job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Infrastructure Expert - Remote

YO AI Labs

Miami, FL • Remote

$30 - $80/hr

Full-time

Posted 6 days ago

Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.