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Remote Ai Automation Jobs in Raleigh, NC (NOW HIRING)

Remote (must reside in one of the following states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IL, IN, KY ... Eliminate manual and fragmented processes through automation and AI, replacing them with ...

... through automation and AI. Our customers are the companies responsible for moving the materials ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Artificial Intelligence & Intelligent Automation Develop and execute the enterprise AI strategy ...

You will have a full-time remote opportunity with Avalara based in the United States of America ... Experience architecting automation, integration, or orchestration platforms such as n8n, Boomi ...

You will have a full-time remote opportunity with Avalara based in the United States of America ... Experience architecting automation, integration, or orchestration platforms such as n8n, Boomi ...

Principal Architect - Enterprise AI

Durham, NC · On-site +1

$153K - $306K/yr

You will have a full-time remote opportunity with Avalara based in the United States of America ... automation, integration, or orchestration platforms such as n8n, Boomi, MuleSoft, or Workato. • ...

Principal Architect - Enterprise AI

Durham, NC · On-site +1

$126K - $244K/yr

You will have a full-time remote opportunity with Avalara based in the United States of America ... automation, integration, or orchestration platforms such as n8n, Boomi, MuleSoft, or Workato. • ...

Showing results 21-40

Remote Ai Automation information

See Raleigh, NC salary details

$36K

$104.1K

$158.4K

How much do remote ai automation jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote ai automation in Raleigh, NC is $104,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,100.00 and $120,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Automation vs Data Analyst?

AspectRemote Ai AutomationData Analyst
Required CredentialsCertifications in AI, machine learning, programming (Python, R)Degree in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentRemote, tech-focused, collaborative teamsRemote or on-site, business or research settings
Industry UsageTech, AI development, automation solutionsFinance, marketing, healthcare, business intelligence
Search & Comparison IntentUnderstanding AI automation roles, skills, and toolsAnalyzing data, generating reports, insights

Remote Ai Automation specialists focus on developing and implementing AI-driven automation solutions, requiring programming and AI certifications. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve data and technology, Remote Ai Automation emphasizes AI development and automation, whereas Data Analysts focus on data interpretation and reporting.

What are the key skills and qualifications needed to thrive as a remote AI automation specialist, and why are they important?

To thrive as a Remote AI Automation Specialist, you need a strong background in computer science, programming (especially Python), and experience with AI/ML frameworks, often supported by a relevant degree or certifications. Familiarity with automation platforms (like UiPath or Automation Anywhere), cloud services, and workflow orchestration tools is typically required. Strong problem-solving abilities, self-motivation, and clear communication skills help you excel in remote, collaborative environments. These skills ensure the effective design, deployment, and management of AI-driven automation solutions that optimize business processes.

What are some common challenges faced by professionals in remote AI automation roles, and how can they be overcome?

Remote AI automation professionals often encounter challenges such as coordinating across time zones, maintaining clear communication with cross-functional teams, and ensuring robust version control for code and automation workflows. Overcoming these obstacles typically involves leveraging collaboration tools like Slack or Microsoft Teams, setting up regular virtual meetings, and using platforms like GitHub for code management. Being proactive in updates and documentation also helps maintain alignment and productivity in a distributed team environment.

What is a remote AI automation?

A Remote AI Automation job involves using artificial intelligence technologies to design, implement, and manage automated processes or systems from a remote location. Professionals in this field work on tasks such as developing AI models, integrating automation tools, and optimizing workflows to increase efficiency and reduce manual effort. These roles often require skills in programming, machine learning, and process analysis, and are common in industries like IT, finance, healthcare, and e-commerce. Remote AI Automation specialists collaborate with teams virtually, leveraging cloud-based platforms and communication tools to manage projects and support business goals.
What are the most commonly searched types of Ai Automation jobs in Raleigh, NC? The most popular types of Ai Automation jobs in Raleigh, NC are:
What are popular job titles related to Remote Ai Automation jobs in Raleigh, NC? For Remote Ai Automation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Ai Automation jobs in Raleigh, NC look for? The top searched job categories for Remote Ai Automation jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Ai Automation jobs? Cities near Raleigh, NC with the most Remote Ai Automation job openings:
Infographic showing various Remote Ai Automation job openings in Raleigh, NC as of August 2026, with employment types broken down into 8% Internship, 56% Full Time, 18% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $104,136 per year, or $50.1 per hour.

Cloud Platform Engineer (GCP) - Remote

micro1 AI

Raleigh, NC • Remote

$20 - $300/hr

Part-time

Medical, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

GCP DevOps Engineer


Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions on GCP.

• Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

• Administer and optimize Kubernetes clusters for maximum reliability and performance.

• Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

• Ensure the security and compliance of cloud environments by applying best practices.

• Proactively identify and resolve infrastructure bottlenecks and incidents.

• Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.


Required Skills and Qualifications:

• Strong hands-on experience with Google Cloud Platform (GCP).

• Deep expertise in implementing and operating cloud infrastructure in production settings.

• Proficiency with Kubernetes administration and orchestration.

• Solid understanding of DevOps methodologies, tools, and best practices.

• Experience building and maintaining CI/CD pipelines.

• Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

• Excellent written and verbal communication skills; ability to convey complex concepts clearly.


Preferred Qualifications:

• GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

• Experience with hybrid or multi-cloud environments.

• Familiarity with security best practices and compliance standards relevant to cloud-native architectures.


Compensation & Benefits Notice


The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer


The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.