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Remote Llm Engineer Intern Jobs in Morgan, UT (NOW HIRING)

Applause

AI Solutions Engineer

Salt Lake City, UT · Remote

... LLM implementation , workflow automation, technical business operations, or a related hands-on ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Applause

AI Solutions Engineer

Salt Lake City, UT · Remote

... LLM implementation , workflow automation, technical business operations, or a related hands-on ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Applause

AI Solutions Engineer

Salt Lake City, UT · On-site +1

... LLM implementation , workflow automation, technical business operations, or a related hands-on ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

WEX

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade ...

Scrunch

Solutions Consultant

Salt Lake City, UT · Remote

$120K - $150K/yr

Collaborate cross-functionally with Product, Engineering, Legal/Compliance, and Support to ... Working knowledge of how AI/LLM systems function -- retrieval, ranking, and generation -- and how ...

All JobsLlm Engineer Intern JobsRemote Llm Engineer Intern JobsRemote Llm Engineer Intern Jobs in Morgan, UT

Remote Llm Engineer Intern information

See Morgan, UT salary details

$13

$24

$37

How much do remote llm engineer intern jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for remote llm engineer intern in Morgan, UT is $24.69, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $28.03 per hour, depending on experience, location, and employer.

What is a remote LLM engineer intern?

A Remote LLM Engineer Intern is a student or early-career professional who works remotely to support the development and implementation of Large Language Models (LLMs), such as GPT or BERT. Their responsibilities often include data preprocessing, model training, fine-tuning, evaluation, and contributing to codebases for AI-driven applications. Interns collaborate with senior engineers and researchers, learning best practices in natural language processing and machine learning, while gaining hands-on experience with cutting-edge technologies. This role is typically offered by tech companies, research labs, or AI startups and allows interns to contribute to projects from anywhere with internet access.

What are the typical projects and responsibilities for a remote LLM engineer intern?

As a Remote LLM Engineer Intern, you can expect to work on tasks such as fine-tuning large language models, evaluating model outputs, and implementing improvements to existing NLP pipelines. Interns often collaborate with data scientists, machine learning engineers, and product teams to develop and test new features or workflows. A typical week may involve coding experiments, analyzing datasets, addressing model bias or performance issues, and participating in virtual team meetings. This role offers hands-on experience with state-of-the-art language models and exposure to the latest advancements in AI.

What are the key skills and qualifications needed to thrive as a remote LLM engineer intern, and why are they important?

To excel as a Remote LLM Engineer Intern, you need a solid background in computer science fundamentals, proficiency in Python, and experience with machine learning or natural language processing, often supported by relevant coursework or internships. Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and version control systems like Git, is usually required. Strong problem-solving abilities, self-motivation, and the ability to communicate technical concepts remotely are essential soft skills. These competencies enable interns to contribute effectively to LLM projects, adapt to remote collaboration, and develop solutions in a rapidly evolving AI field.

What is the difference between Remote Llm Engineer Intern vs Remote Machine Learning Engineer Intern?

AspectRemote Llm Engineer InternRemote Machine Learning Engineer Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fields; familiarity with NLP and LLMsSimilar educational background; focus on ML algorithms, data processing, and software engineering
Work EnvironmentRemote internship, often in tech companies developing NLP or AI productsRemote internship, in companies working on ML applications across industries
Employer & Industry UsageUsed in AI startups, research labs, and tech giants focusing on NLP and language modelsCommon in tech firms, research institutions, and companies deploying ML solutions

The main difference between a Remote Llm Engineer Intern and a Remote Machine Learning Engineer Intern lies in their focus areas. The Llm Intern specializes in language models and NLP-specific tasks, while the ML Intern has a broader scope in machine learning applications. Both roles require similar educational backgrounds and are typically remote internships in tech-driven environments.

Remote Llm Engineer Intern jobs near you
Infographic showing various Remote Llm Engineer Intern job openings in Morgan, UT as of August 2026, with employment types broken down into 10% Internship, 64% Full Time, 9% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $51,364 per year, or $24.7 per hour.

AI Solutions Engineer

Salt Lake City, UT • Remote

Applause
See more jobs at Applauseexternal

Full-time

Medical, Life, PTO

Re-posted 9 days ago

Job description

Hiring Manager: Jeff Martin, CTO


We're looking for an AI Solutions Engineer to drive AI adoption across every team at Applause. You 'll build and maintain a monthly roadmap of AI-powered workflows for departments like Sales, Customer Success, Marketing, Finance, and HR/TA, then actually implement them: standing up tools, wiring integrations into our core systems, training the team on how to use them, and tracking whether they're moving the needle. This is a builder role, and you'll work closely with our CTO and Chief Architect, who own the broader AI vision and governance, while you own execution.

Responsibilities:

  • AI Workflow Roadmap & Delivery
    • Build a monthly roadmap of AI workflows to design and ship, prioritized by productivity or cost impact, for every department (except Product and Engineering)
    • Identify manual, repetitive work across departments and design AI-driven workflows to replace or accelerate it
    • Ship the workflows you scope: configure tools, build automations, and get them into daily use, not just document recommendations
    • Iterate and fine-tune workflows post-launch based on usage and feedback
  • Systems & Integrations
    • Support system implementations for AI and adjacent tools, partnering with the CTO and Engineering on technical requirements and data access
    • Connect AI tools into core business systems (CRM, HRIS, finance tools, Slack, etc.), so workflows run inside the systems teams already use
    • Evaluate and pilot new AI tools for specific departments and use cases, and recommend what to adopt, pause, or retire
  • Adoption, Training & ROI
    • Train department teams on the workflows and tools you build, and follow up to make sure they're actually being used
    • Troubleshoot adoption issues directly with end users rather than escalating them
    • Track usage and cost of AI tools by team and use case, and run monthly ROI reporting
    • Report progress monthly to the CTO on workflow delivery, adoption, and productivity/cost impact
    • Level up teams to build and own their own AI workflows over time, so departments grow more self-sufficient rather than depending on you for every change

Requirements

    • Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or equivalent hands-on experience)
    • 2–4 years of experience in AI/LLM implementation, workflow automation, technical business operations, or a related hands-on technical role
    • Able to write and modify code for simple, internal business applications (even if AI writes most of it)—production-grade or engineering-quality code is not required
    • Programming Languages: Javascript/Typescript preferred
    • Demonstrated experience building integrations or automations (e.g., Zapier, Make, APIs, low-code/no-code platforms)
    • Working knowledge of modern AI tools Claude, Copilot, and similar) and how to apply them to business workflows
    • Comfortable working cross-functionally with non-technical teams (Sales, CS, Marketing, Finance, HR) to scope and deliver workflows
    • Strong communicator who can train and troubleshoot with non-technical users
    • Detail-oriented with strong ownership over initiatives, start to finish
    • Very effective in a remote work environment

Benefits

Benefits:  100% remote w/ no office mandate | Unlimited PTO | 20 official company holidays | Health care | Life insurance | Stock options | Amazing colleagues | Energetic culture that is positive and celebrates together | Inspiring mission & software product | Ability to grow your career by being early in a fast-growing tech startup
About Applause

Applause is a SaaS start-up founded by experienced entrepreneurs and backed by the best VCs in Silicon Slopes. We’re focused on helping companies supercharge their team’s performance so they can win more lifelong customers. Learn more about our company and culture here: