Remote AI Jobs
Remote AI jobs are open across the U.S. in technology, healthcare, financial services, and enterprise software, from entry-level prompt engineering and data annotation roles to senior machine learning engineer and AI research scientist positions on fully distributed teams. Employers hiring remote ais right now include BlackRock, Enlyte, and Gartner. Scan the live roles below and apply to whichever ones fit.
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Job Posting:
Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers’ complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in.
The AI Support Manager owns Ferguson's Level 2 AI tool support function — the router, orchestrator, and knowledge curator that sits between frontline Level 1 support and deeper Level 3 technical (Tech) and AI Studio (CoE) resources. This role will provide guidance and operational direction to Level 1 staff, including staff-augmented resources, and builds the self-service knowledge infrastructure that keeps AI tool support scalable as usage grows from roughly ~1,200 users today toward 20,000+ across Copilot, Ferguson Assist (Gemini), and Claude.
Location: This role is approved to be either Remote within the United States or Hybrid for associates in Newport News, VA, in accordance with company policy.
Duties and Responsibilities:
- Provide guidance and operational direction to Level 1 support staff and staff-augmented resources handling the AI-enablement inbox and frontline "how do I" questions.
- Own triage and routing logic across AI tools — determining whether an issue is a tool issue, a connector issue, or a genuine product problem, and directing it accordingly.
- Build, maintain, and continuously improve the self-service knowledge base, capturing not just resolution steps but what didn't work, based on real ticket patterns.
- Decide where customer concerns go and manage handoffs to Level 3 Tech and Level 3 AI Studio/CoE resources.
- Open and supervise support tickets using Jira/Confluence, and monitor volume, resolution time, and escalation patterns to identify recurring issues.
- Act as "customer zero" for self-service support agents — build and troubleshoot no-code support agents in partnership with AI Studio, using that hands-on experience to guide Level 1 staff.
- Monitor Viva Engage and Teams community channels for emerging support themes and friction points.
- Partner with the AI Platform/Tool Owner on license- and connector-related support escalations, and with the AI Fluency Manager on recurring training gaps surfaced through support volume.
- Support the ongoing design and refinement of the L1/L2/L3 support model as tool volume and license counts scale.
Qualifications and Requirements:
- 4-6 years in technical support management, IT service management, or helpdesk leadership, ideally at enterprise scale.
- Experience managing/providing operational direction to a support team, including staff-augmented or offshore resources.
- Familiarity with enterprise productivity/AI tools (Microsoft Copilot, Google Gemini, or similar).
- Experience building or maintaining a knowledge base and ticketing workflows (Jira, Confluence, or similar).
- Strong triage and prioritization skills; comfortable making judgment calls under ambiguity.
- Ability to build or troubleshoot simple no-code/low-code support tooling or agents.
Desired Qualifications:
- Experience with AI/ML tool support specifically.
- Prior experience scaling a support function through rapid user growth.
- Familiarity with AI governance or responsible AI practices.
At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more!
#LI-REMOTE
Pay Range:
Actual pay rate may vary depending upon location. The estimated pay range for this position is below. The specific rate will depend on a candidate’s qualifications and prior experience.
Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles.
This role is Bonus or Incentive Plan eligible.
Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements.
The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability.
Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity.
Equal Employment Opportunity and Reasonable Accommodation Information
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Who's Hiring



Top Industries Hiring
- Education
- Technology & Software
- Insurance
- Automotive
What Employers Look For
The qualifications that appear most often in remote AI jobs.
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience building, training, and evaluating machine learning or deep learning models
- Familiarity with cloud ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML
- Strong foundation in statistics, linear algebra, and applied mathematics
- Experience deploying models to production and monitoring model performance over time
- Bachelor's or master's degree in computer science, data science, mathematics, or a related field
Tips for Your Remote AI Job Search
Build a portfolio that works asynchronously
Remote hiring managers review your work before they ever speak to you. Post documented projects on GitHub with clear READMEs, model cards, or annotated notebooks so reviewers can evaluate your thinking without asking you to explain it live.
Signal async communication skills in every application
Remote ai teams run on written handoffs, design docs, and Slack threads. Your cover letter and application emails are the first test. Write in plain, precise sentences, structure your points clearly, and skip the filler phrases that bloat async communication.
Apply early to remote roles that fit
Migrate Mate lists remote ai openings from across the U.S. in one place. Search by role type, find positions that match your skills and experience level, and apply directly without wading through non-remote listings mixed in.
Prepare for async-first remote interviews
Many remote ai teams use take-home coding or modeling assessments before any live call. Treat them like production work: write clean code, document your reasoning, and submit before the deadline. Rushed take-homes eliminate more candidates than poor live interviews.
Remote AI Jobs: Frequently Asked Questions
How do I get a remote ai job?
Remote ai employers screen for self-direction, clear async written communication, and the ability to move work forward without daily check-ins. Companies most likely to hire ais remotely are remote-first software firms, AI-native startups, and distributed enterprise tech teams. Candidates who document their work clearly, show comfort with tools like Slack and Notion, and can demo models or pipelines in a portfolio give themselves a real edge.
Which companies hire remote ais?
Employers currently hiring remote ais include BlackRock, Enlyte, and Gartner, per current remote listings on Migrate Mate as of September 2026. Remote ai roles tend to concentrate at remote-first technology companies, AI product startups, and large enterprise teams in software and financial services that run engineering on distributed schedules.
Can you get a remote ai job with no experience?
Yes, but remote entry-level ai roles are harder to land than on-site ones because employers expect you to work independently from day one without in-person guidance. Smaller AI-native startups and contract-to-hire roles are the most open to junior candidates. Showing a GitHub portfolio with annotated notebooks, a fine-tuned model project, or completed coursework from a recognized program can substitute for formal job experience.
Do you need a degree for remote ai jobs?
Not always. Remote employers weigh demonstrated skills heavily for ai roles, particularly for applied positions like prompt engineering, data annotation lead, or ML ops. A strong portfolio, verifiable open-source contributions, or completed certifications from recognized programs often carry more weight than a degree title alone, especially at startups and remote-first product companies.
Which industries hire the most remote ais?
Remote ai roles concentrate in Education, Technology & Software, and Insurance, based on current remote listings on Migrate Mate as of September 2026. Those sectors hire ais remotely because their product and data teams are already fully distributed, making async collaboration the default rather than an exception.
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