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Full Time Remote Ai Training Jobs (NOW HIRING)

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 ...

DEEPREC.AI

AI Data Lead

$180K - $220K/yr

AI Data Lead $180,000 - $200,000 | New York (Remote) | Full-Time Deeprec.ai is proud to announce our partnership with a leading AI Compliance company. They use a modern tech stack to help companies ...

Harris

(Remote) AI Enablement Lead

Florida, NY · Remote

Develop and deliver AI training, workshops, and resources tailored to each department's needs and ... Remote work and more! About Harris: Harrisis a leading provider of mission critical software to the ...

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Full Time Remote Ai Training information

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How much do full time remote ai training jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for full time 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 is the difference between Full Time Remote Ai Training vs Data Annotator?

AspectFull Time Remote Ai TrainingData Annotator
CredentialsBasic technical skills, training certificationsNone typically required
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible or fixed hours
Industry UsageAI development, machine learning projectsData labeling for AI models
Job FocusTraining AI models through data inputLabeling and annotating data for AI training

Full Time Remote Ai Training involves training AI models by providing labeled data, often requiring some technical skills. Data Annotators focus on labeling data to help AI systems learn, usually with minimal technical requirements. Both roles are remote and essential in AI development, but they differ in responsibilities and skill needs.

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Full Time Remote Ai Training jobs near you

Remote AI Architect

Globalchannelmanagement

Boston, MA • Remote

$90 - $92/hr

Full-time

Posted 14 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.