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Full Time Remote Ai Trainer 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 ...

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 ...

Graphic Designer

$20 - $65/hr

Graphic Designer - Ai trainer Job Type: Permanent Location: Remote Compensation: $20 - $65/hour-pay As a Graphic Designer - Ai trainer and play a pivotal role at the intersection of creative design ...

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 Trainer information

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$13

$31

$63

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

As of Jun 12, 2026, the average hourly pay for full time remote ai trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is the difference between Full Time Remote Ai Trainer vs Data Annotator?

AspectFull Time Remote Ai TrainerData Annotator
CredentialsBasic technical skills, sometimes certifications in AI or machine learningMinimal formal credentials, often on-the-job training
Work EnvironmentRemote, collaborative with AI teamsRemote or on-site, focused on labeling data
Industry UsageAI development, machine learning projectsData preparation for AI and analytics
Search & Comparison IntentUnderstanding roles in AI trainingClarifying data labeling tasks

Full Time Remote Ai Trainers focus on training AI models by providing labeled data and refining algorithms, often requiring some technical knowledge. Data Annotators primarily label data to prepare datasets for AI, usually with minimal formal credentials. Both roles are remote and essential in AI development, but Ai Trainers typically have a broader scope involving model refinement, while Data Annotators concentrate on data labeling tasks.

More about Full Time Remote Ai Trainer jobs
What are the most commonly searched types of Remote Ai Trainer jobs? The most popular types of Remote Ai Trainer jobs are:
Infographic showing various Full Time Remote Ai Trainer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Remote AI Architect

Globalchannelmanagement

Boston, MA โ€ข 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.