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Remote Ai Support Jobs (NOW HIRING)

Remote AI Architect

Boston, MA ยท Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Support development teams on model selection, training pipelines, prompt engineering, fine tuning ...

You'll collaborate across functions while being supported by a passionate team and strong executive ... Benefits include 100% remote work, health insurance, and a commitment to innovation in AI. #J-18808 ...

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Remote Ai Support information

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$14

$26

$44

How much do remote ai support jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for remote ai support in the United States is $26.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $28.37 per hour, depending on experience, location, and employer.

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

To thrive as a Remote AI Support specialist, you need a solid understanding of AI concepts, troubleshooting skills, and experience with customer support, often supported by a relevant degree or technical certification. Familiarity with ticketing systems, remote desktop tools, knowledge bases, and platforms like Slack or Zendesk is typically required. Strong communication, problem-solving abilities, and patience help you stand out when assisting diverse clients virtually. These skills are crucial for effectively resolving technical issues, ensuring customer satisfaction, and maintaining smooth operations in remote environments.

What are some common challenges faced by Remote AI Support professionals, and how can they be effectively managed?

Remote AI Support professionals often encounter challenges such as troubleshooting complex AI systems without direct physical access, managing effective communication with clients or team members across different time zones, and staying updated with rapidly evolving AI technologies. To manage these challenges, it's important to maintain clear documentation, leverage remote collaboration tools, and prioritize continuous learning. Establishing regular check-ins with the team and creating a structured workflow can also help ensure smooth support operations and timely issue resolution.

What is a Remote AI Support job?

A Remote AI Support job involves assisting customers, clients, or internal teams with issues related to artificial intelligence products or services, all while working remotely. These professionals may help troubleshoot AI tools, answer technical questions, provide product guidance, and escalate complex issues to specialized teams. They often use chat, email, or video calls to communicate, and may work for technology companies, SaaS providers, or startups. Strong communication skills, technical literacy, and familiarity with AI concepts are typically required.

What is the difference between Remote Ai Support vs Remote Customer Support?

AspectRemote Ai SupportRemote Customer Support
Required CredentialsTechnical knowledge, AI tools familiarityCommunication skills, customer service experience
Work EnvironmentAI platforms, software toolsCustomer interaction channels (phone, chat, email)
Industry UsageTech, AI development companiesRetail, service industries, e-commerce
Common Search IntentTechnical AI support rolesCustomer service jobs

Remote Ai Support involves assisting users with AI tools and platforms, requiring technical skills and familiarity with AI technologies. In contrast, Remote Customer Support focuses on resolving customer inquiries through communication channels, emphasizing interpersonal skills. While both roles are remote and industry-related, they serve different functions within organizations.

More about Remote Ai Support jobs
What cities are hiring for Remote Ai Support jobs? Cities with the most Remote Ai Support job openings:
What are the most commonly searched types of Ai Support jobs? The most popular types of Ai Support jobs are:
What states have the most Remote Ai Support jobs? States with the most job openings for Remote Ai Support jobs include:

Remote AI Architect

Globalchannelmanagement

Boston, MA โ€ข Remote

$90 - $92/hr

Full-time

Posted 7 days ago


Job description

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts.

AI Architect requires:

  • Strong understanding of data governance, privacy, security, and model risk management.
  • Prior experience with large-scale transformation programs.
  • equired Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in application development, engineering, or solution delivery roles.
  • 1+ years of hands-on experience in AI/ML engineering, data science, or AI solution architecture.
  • Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or comparable generative AI ecosystems).
  • Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design).
  • Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tooling.
  • Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores.
  • Strong hands on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools.
  • Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval optimization.

AI Architect duties:

Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability.

Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling.

Support development teams on model selection, training pipelines, prompt engineering, fine tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies.

Mentor engineers, analysts, and product teams on AI best practices.