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Remote Microsoft Ai Jobs (NOW HIRING)

Enterprise Sales Director, Microsoft Security Tenex.ai | Remote (United States) Company Overview Tenex.ai is an AI-native Managed Detection and Response (MDR) company. We combine AI-driven detection ...

Remote - East & Central U.S. Markets) Requirements CompQsoft Digital is a leading next-generation ... With deep expertise in Microsoft AI technologies, we empower organizations to unlock the full ...

Remote (U.S) Assignment Type: Contract Only Duration: ~7 Months Role Overview: Step into a high ... Build AI-powered workflows and conversational experiences using Copilot Studio * Create front-end ...

Own execution and completion of the Microsoft Copilot Studio SKU inventory assessment, including analysis of licensing and deployment impacts. * Evaluate third-party AI agent development partners and ...

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Director, Microsoft Consulting

Newton, MA · Remote

$175K - $225K/yr

Remote (U.S.) with occasional client travel (10-20%) We are seeking a Director-level Microsoft ... Lead client discovery sessions and shape Microsoft-based solutions across Copilot/AI, Microsoft 365 ...

This role will involve designing and building AI-powered business applications using Microsoft ... Boise, ID (Remote) Duration: 12+ Months Contract We are looking for a highly skilled AI Solutions ...

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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 Jun 9, 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:
Infographic showing various Remote Microsoft Ai job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Lead Instructor: AI-Enabled Product Marketing Manager

Lead Instructor: AI-Enabled Product Marketing Manager

General Assembly

Remote

$11K - $15K/wk

Full-time, Part-time

Posted 8 days ago


Job description

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni - and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte's Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
Job Title: Lead Instructor: AI-Enabled Product Marketing Manager
Company: General Assembly
Client: Confidential - Customer Success Reskilling
Location: Remote (Must work West Coast / Pacific Time hours)
Duration: 2 Weeks (Starting Mid-June)
Commitment: Roughly 30 hours per week
Compensation: $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)
About the Engagement
General Assembly is delivering an intensive reskilling program designed to transition experienced Customer Success and Account Management (CSAM) professionals into AI-Enabled Product Marketing Manager (PMM) roles.
As the Lead Instructor, you will be responsible for guiding these professionals as they learn to own the positioning, messaging, and launch strategy for enterprise AI offerings. You will help them bridge the gap from relationship management to strategic product marketing, ensuring they can effectively market complex tools like Copilot and Azure AI Foundry.
What You'll Do
  • Lead Live Instruction: Deliver high-energy, synchronous remote lectures on PMM fundamentals, including AI positioning frameworks, messaging, and persona development.
  • Facilitate Strategy Workshops: Guide students through hands-on "build-along" activities where they create messaging frameworks, competitive intelligence reports, and launch strategy documents.
  • Storytelling & Messaging Mentorship: Leverage the learners' existing customer-facing strengths to help them craft compelling, AI-driven customer stories and value propositions.
  • Review Market Deliverables: Provide expert, actionable feedback on student projects focused on launch motions and market-entry activities for AI products.
  • AI Tool Integration: Teach students how to comfortably use analytics and AI content tools to iterate on messaging and improve marketing efficiency.
What You Bring
  • The Experience: 7+ years in product marketing, with at least 2+ years of recent experience specifically positioning and launching AI-powered products at an enterprise scale.
  • Strategic Mastery: Deep expertise in the "PMM core": positioning, messaging, personas, and go-to-market (GTM) launch motions.
  • The "Teacher" Gene: Proven experience coaching, mentoring, or instructing professionals. You must be able to translate high-level marketing strategy into digestible, practical steps for a remote cohort.
  • Tech Fluency: A strong understanding of the Microsoft AI ecosystem (Copilot, Azure AI, and Foundry) and how these tools compete in the current market.
  • The Credentials: AI-900 certification is required.
  • The Pedigree: Experience as a Senior PMM or Director of PMM at a major tech firm (Microsoft, Google, etc.) is a significant plus.

Note on Schedule: This is a high-intensity, 2-week engagement starting in mid-June. The instructor must be fully available for 30 hours per week and must operate on Pacific Time (PT) business hours to align with the learner cohort.
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.