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Remote Microsoft Ai Jobs (NOW HIRING)

campus4tech

AI Architect

$64.50 - $85/hr

AI Architect CoPilot SME Location: 100% Remote (EST Hours) Duration: 9-12 Month Contract to Hire ... on CoPilot AI, so understands the Microsoft ecosystem and how it relates to AI. Core ...

CompQsoft Digital

Microsoft Project Manager

Remote Requirements About CompQsoft Digital Founded in 1997, CompQsoft Digital is a leading next ... With deep expertise in Microsoft AI technologies, we empower organizations to unlock the full ...

CompQsoft Digital

Microsoft Fabric Solution Architect

$64.50 - $85/hr

Remote Requirements About CompQsoft Digital Founded in 1997, CompQsoft Digital is a leading next ... With deep expertise in Microsoft AI technologies, we empower organizations to unlock the full ...

Crocs

Senior Manager, Data Science & AI

Broomfield, CO · On-site +1

... a flexible, remote environment while traveling to collaborate with global stakeholders and ... Lead AI solution design using Microsoft technologies, including Azure AI, Azure Foundry, Copilot ...

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Remote Microsoft Ai information

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$83.5K

$127K

$171K

How much do remote microsoft ai jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote microsoft ai in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a Remote Microsoft AI professional?

A Remote Microsoft AI professional is someone who works with Microsoft's artificial intelligence tools and platforms, such as Azure AI, Power Platform, and Microsoft Cognitive Services, from a location outside of a traditional office. They may develop, deploy, and maintain AI-powered solutions, assist organizations in integrating AI into their workflows, or provide technical support for AI products. These roles often require expertise in AI, cloud computing, and programming, and allow for flexible work arrangements. Remote Microsoft AI professionals can work for Microsoft itself, its partners, or any business utilizing Microsoft's AI technologies.

What is the difference between Remote Microsoft Ai vs Remote Data Scientist?

AspectRemote Microsoft AiRemote Data Scientist
Required CredentialsMicrosoft certifications, AI/ML degreesStatistics, Data analysis, Python/R skills
Work EnvironmentTech companies, AI-focused teamsResearch labs, analytics departments
Industry UsageTechnology, software developmentFinance, healthcare, marketing
Common Search/ComparisonYesYes

Remote Microsoft Ai professionals focus on developing AI solutions using Microsoft tools and platforms, often requiring certifications like Azure AI Engineer. Remote Data Scientists analyze data to extract insights, typically with skills in statistics and programming. While both roles involve data and AI, Microsoft Ai roles are more platform-specific, whereas Data Scientists have broader analytical responsibilities.

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

To thrive as a Remote Microsoft AI Specialist, you need a solid background in computer science, machine learning, and data analytics, often supported by relevant degrees or certifications such as Microsoft Certified: Azure AI Engineer Associate. Proficiency with Microsoft Azure AI services, programming languages like Python, and tools such as Visual Studio Code and Power BI is essential. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for collaborating virtually and delivering solutions. These skills ensure the ability to design, implement, and support AI-driven applications that meet business needs in a remote work environment.

How does a Remote Microsoft AI specialist typically collaborate with cross-functional teams, and what tools are commonly used to ensure effective communication and project management?

A Remote Microsoft AI specialist often works closely with software developers, data engineers, product managers, and business analysts to design and deploy AI solutions. Collaboration is facilitated through tools like Microsoft Teams, Azure DevOps, and SharePoint, allowing for seamless communication, code sharing, and project tracking. Regular virtual meetings, sprint planning sessions, and shared documentation ensure everyone stays aligned despite physical distance. Building strong digital communication skills and being proactive about updates are essential for success in this remote, collaborative environment.
More about Remote Microsoft Ai jobs
What cities are hiring for Remote Microsoft Ai jobs? Cities with the most Remote Microsoft Ai job openings:
What are the most commonly searched types of Microsoft Ai jobs? The most popular types of Microsoft Ai jobs are:
What states have the most Remote Microsoft Ai jobs? States with the most job openings for Remote Microsoft Ai jobs include:
What job categories do people searching Remote Microsoft Ai jobs look for? The top searched job categories for Remote Microsoft Ai jobs are:
Remote Microsoft Ai jobs near you
Infographic showing various Remote Microsoft Ai job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Senior AI/ML Engineer - Remote

Futran Tech Solutions Pvt. Ltd.

Remote

$107K - $146K/yr

Full-time

Posted 19 days ago

Job description

Title: Senior AI/ML Engineer
Duration: Full Time (No Contract)
Location: Remote from Canada
JC: 136001
Roles & Responsibilities:
  • Hand on experience on Microsoft AI and LLM areas and must possess strong experience in Python and Scala.
  • Strong Data engineering experience is a must
  • Experience in Microsoft Technologies, particularly within the Azure ecosystem, is necessary.
  • Should have an idea on deployment processes including Service Dev Ops, CI-CD, EV2 deployments and DRI and production support.
  • The candidate should also have exposure to tools like GIT and AI tools like Github Copilot, SWE agent etc.
  • Strong troubleshooting and analytical skills.

Soft Skills -
  • Excellent communication and customer-facing interaction skills.
  • Ability to work in fast-paced, multi-team, agile environments.
  • Strong ownership, problem-solving, and documentation skills.

Apply