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Globalchannelmanagement

Remote AI Architect

Boston, MA · 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 ...

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How much do remote ai training jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for remote ai training in the United States is $42.21, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $53.85 per hour, depending on experience, location, and employer.

What are some typical challenges faced in a Remote AI Training position and how can they be addressed?

One common challenge in Remote AI Training roles is maintaining consistent data quality while managing repetitive tasks independently. To address this, professionals use standardized guidelines, periodic feedback sessions, and collaborative review processes. Remote work also requires strong self-motivation and regular communication with team members to resolve ambiguities or receive updates on project requirements. Employers often provide training sessions and set up digital tools to keep collaboration smooth, ensuring productivity and accuracy across distributed teams.

What is a Remote AI Training job?

A Remote AI Training job involves labeling, annotating, and evaluating data to help improve machine learning models. Workers in this role often review AI-generated responses, assess accuracy, and provide feedback to enhance AI performance. The job is typically done online and requires attention to detail, critical thinking, and familiarity with AI tools. Many companies hire remote AI trainers to refine chatbots, search engines, and other AI-driven applications.

What are the key skills and qualifications needed to thrive in the Remote Ai Training position, and why are they important?

To thrive in Remote AI Training, you need a solid understanding of machine learning concepts, data annotation techniques, and attention to detail, often supported by relevant coursework or experience in data science or computer science. Familiarity with labeling platforms, data management tools, and sometimes certification in AI-related fields is typically expected. Strong communication, time management, and the ability to work independently are vital soft skills in this remote setting. These skills ensure high-quality, accurate training data for AI models while maintaining productivity and collaboration with distributed teams.

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Remote Ai Training jobs near you
Infographic showing various Remote Ai Training job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $87,800 per year, or $42.2 per hour.

Remote AI Architect

Globalchannelmanagement

Boston, MA • Remote

$90 - $92/hr

Full-time

Posted 24 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.