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

Senior Staff Agentic AI Engineer

Draper, UT ยท 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 ...

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

$139K - $168K/yr

... language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Technical Account Manager

Lehi, UT ยท On-site +1

$93K - $162K/hr

This role operates as a Hybrid position (customer meetings may be on-site or remote) with ... Experience with AI products and large-language-model tooling (e.g., Copilot, Claude, OpenAI)

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Remote Large Language Model Llm information

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

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

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

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

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

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 cities in Utah are hiring for Remote Large Language Model Llm jobs? Cities in Utah with the most Remote Large Language Model Llm job openings:
Infographic showing various Remote Large Language Model Llm job openings in Utah as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

IO Product Science Intern | Fully Remote US

HireVue Inc

Sandy, UT โ€ข Remote

Part-time

Posted 6 days ago


Job description

Company Description

Hirevue is where hiring happens - transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue's end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI,ย Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.

Job Description

As an IO Product Science Intern, you will support the research, design, and testing of new assessments and assessment-related product features.

You will work with IO Psychologists and other internal teams to apply research within the Hirevue platform. Projects may include large language models, machine learning, simulations, conversational assessments, and other interactive assessment methods.

This is a six-month internship beginning in August or September, with the possibility of extension. This role is a part-time internship, not exceeding 20 hours per week and does not involve direct customer interaction.

Essential Duties and Responsibilities

  • Support the design, development, testing, and quality review of new assessments.

  • Apply IO Psychology, research, and data analysis skills to product projects.

  • Assist with assessment content, scoring methods, prototypes, and AI-enabled features.

  • Review research on selection and emerging assessment technologies, and help translate findings into product features.

  • Support research on reliability, validity, fairness, subgroup differences, usability, and candidate experience.

  • Serve as an expert evaluator by reviewing and rating the quality, accuracy, and effectiveness of assessment tools and technology-generated outputs.

  • Collaborate with IO Psychology, Product, and Data Science teams and share findings with technical and non-technical audiences.

Qualifications
  • Currently enrolled in a Ph.D. program in IO Psychology or a related field preferred.

  • At least two years of graduate-level education in IO Psychology or a related field preferred.

  • Knowledge of personnel selection, psychometrics, statistics, research methods, or assessment development.

  • Experience analyzing quantitative and qualitative data.

  • Experience with assessment development, validation, or evaluation is preferred.

  • Interest or experience in emerging assessment technologies, such as large language models, machine learning, natural language processing, prompt design, experimental design, or AI evaluation.

  • Knowledge of EEO requirements, fairness, and professional guidelines for employee selection.

Additional Information

All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers, Enjoy the Journey, Always do the Right Thing, Reach Forwards, and Take Action and Go.ย 

Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy, HireVue uses Google User Enrollment, which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device, ensuring privacy for personal data.

Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. All your information will be kept confidential according to EEO guidelines.

Hirevue is NOT currently hiring in:

AK, HI, IA, ME, MS, NM or WV.

#remote-us