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Hourly Large Language Model Llm Jobs in Utah (NOW HIRING)

Autonomous Solutions

AI Software Engineer I

Logan, UT · On-site

Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance. * Identify and escalate bugs, performance issues, and integration failures to senior ...

Zions Bank

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

Architect operational capabilities for deploying, scaling, and managing sophisticated ML and Large Language Model (LLM) workflows under a robust MLOps/LLMOps strategy. * Enhance the Enterprise ...

Zions Bancorporation

AI Solutions Architect

Midvale, UT · On-site

$150 - $210/hr

Architect operational capabilities for deploying, scaling, and managing sophisticated ML and Large Language Model (LLM) workflows under a robust MLOps/LLMOps strategy. * Enhance the Enterprise ...

Zions Bancorporation

AI Solutions Architect

Midvale, UT · On-site

$59.50 - $78.25/hr

Architect operational capabilities for deploying, scaling, and managing sophisticated ML and Large Language Model (LLM) workflows under a robust MLOps/LLMOps strategy. * Enhance the Enterprise ...

NexOne, Inc

Data Scientist and AI Specialist

Clearfield, UT · On-site

$110 - $160/hr

LLM Integration & Fine-Tuning: Design, implement, and optimize applications utilizing Large Language Models (LLMs) via APIs and open-source frameworks (e.g., LangChain, LlamaIndex). * Vector Database ...

Bread Financial

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

... g., LLM-powered applications, LangChain, LangGraph, AutoGen) and 3+ years of experience ... Large Language Models (LLMs) * PostgreSQL * Prometheus (Software) * New Relic * Redis * Telemetry ...

Amh

Product Engineering Architect

Draper, UT · On-site

Minimum 3 years of Strong knowledge of Generative AI, Large Language Models (LLMs), Agentic AI ... Knowledge of LLM infrastructure concepts such as GPU utilization, token economics, and performance ...

Atonom

AI Product Specialist

Provo, UT · On-site

AI/LLM Native:You have moved beyond "tech-curious" and have practical experience or a deep conceptual understanding of Large Language Models (LLMs) and prompt engineering. * Consultative Communicator:

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Hourly Large Language Model Llm information

What is an hourly large language model LLM?

Hourly Large Language Model (LLM) jobs are roles where individuals work with LLMs, such as ChatGPT or similar AI systems, on an hourly basis. These positions often involve tasks like data annotation, prompt engineering, AI model evaluation, or content generation. Workers may be responsible for improving AI responses, testing models, or creating training data. The 'hourly' aspect means they are paid based on the number of hours worked, rather than a fixed salary or per-project rate. Such jobs are common in tech companies, research organizations, or freelance platforms.

What are the key skills and qualifications needed to thrive as a large language model (LLM) engineer?

To thrive as a Large Language Model (LLM) Engineer, you need a solid background in machine learning, natural language processing, and programming—typically with a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with cloud platforms, and knowledge of model deployment tools are highly valued, along with certifications in AI or data science. Strong problem-solving skills, creativity, and effective communication help you collaborate with cross-functional teams and innovate solutions. These competencies are crucial for developing, optimizing, and scaling LLMs to meet evolving business and research needs.

What are some common challenges faced by hourly large language model (LLM) annotators and how can they be addressed?

Hourly LLM annotators often face challenges such as maintaining consistency in labeling, handling ambiguous or unclear data, and managing the repetitive nature of annotation tasks. To address these challenges, it's helpful to regularly review annotation guidelines, participate in team discussions to clarify uncertainties, and leverage available feedback from quality assurance checks. Collaborating with teammates and project managers can also provide support and ensure alignment on task expectations, making the work environment more collaborative and improving overall accuracy.

What is the difference between Hourly Large Language Model Llm vs Data Scientist?

AspectHourly Large Language Model LlmData Scientist
Required CredentialsKnowledge of AI, NLP, programming skillsDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, AI research labs, freelance projectsCorporate, consulting firms, research institutions
Industry UsageDeveloping and fine-tuning language models, AI applicationsData analysis, predictive modeling, data visualization

While both roles involve working with data and advanced technology, Hourly Large Language Model Llm focuses on developing and deploying AI language models, whereas Data Scientists analyze data to inform business decisions. The roles share skills in programming and data handling but differ in their primary objectives and work environments.

What are the most commonly searched types of Large Language Model Llm jobs in Utah?

The most popular types of Large Language Model Llm jobs in Utah are:

What are popular job titles related to Hourly Large Language Model Llm jobs in Utah?

For Hourly Large Language Model Llm jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Hourly Large Language Model Llm jobs in Utah look for?

The top searched job categories for Hourly Large Language Model Llm jobs in Utah are:

What cities in Utah are hiring for Hourly Large Language Model Llm jobs?

Cities in Utah with the most Hourly Large Language Model Llm job openings:

Hourly Large Language Model Llm jobs near you
Infographic showing various Hourly Large Language Model Llm job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 51% Full Time, 44% Part Time, 1% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

AI Software Engineer I

Autonomous Solutions

Logan, UT • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.
As an AI Software Engineer I at ASI, you are responsible for supporting the development of internal AI-powered tools and applications under direct supervision. You contribute to front-end and back-end development tasks, assist with integration work, and build foundational skills shipping functional software within the internal platform.


Responsibilities

  • Build front-end components and back-end services for internal applications following established architectural patterns.

  • Assist in scaffolding and configuring new tools and prototypes within the internal AI platform.

  • Support implementation of authentication flows, API wrappers, and access control features under supervision.

  • Document tool usage, configuration steps, and onboarding materials to support team adoption.

  • Participate in code reviews to receive feedback and develop software quality practices.

  • Apply modern AI development frameworks, large language model (LLM) APIs, and integration patterns under guidance.

  • Identify and escalate bugs, performance issues, and integration failures to senior engineers.

  • Contribute to cloud deployment tasks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) under direction.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field.

  • 0-2 years of experience in full-stack software development.

  • Familiarity with front-end frameworks such as React, Vue, or Angular.

  • Exposure to back-end development using Node.js, Python, or similar languages.

  • Basic understanding of cloud platforms (AWS, Azure, or GCP).

  • Familiarity with version control workflows using Git.

  • Exposure to AI/ML APIs or large language model (LLM) integration patterns.

Physical Requirements

  • Ability to remain in a stationary position at a computer workstation for extended periods.

  • Ability to operate a computer and other office productivity equipment continuously.

  • Ability to communicate and exchange information in person, via phone, and through electronic means.

  • Ability to traverse office, lab, data center, and field environments as required.


At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

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