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

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Hands-on experience working with large language models, including fine-tuning, evaluation, or model ... Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement ...

Entrata

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

Hands-on experience working with large language models, including fine-tuning, evaluation, or model ... Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Hands-on experience working with large language models, including fine-tuning, evaluation, or model ... Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement ...

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 ...

Amh

Product Engineering Architect

Draper, UT

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 ...

WorkBay

Data & Infrastructure Engineer

Draper, UT · On-site

$107K - $128K/yr

Exposure to AI/LLM architecture -- understanding how large language models consume data and how to structure pipelines that support AI-driven applications * Experience with container-based deployment ...

Atonom

AI Product Specialist

Provo, UT · On-site

$50K - $90K/yr

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 ...

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:

System One

AI Engineer

Salt Lake City, UT · On-site

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

System One

AI Engineer

Salt Lake City, UT · On-site

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

System One

AI Engineer

Salt Lake City, UT · On-site

Hands-on experience with: o AI/ML and Generative AI o Large Language Models (LLMs) and prompt engineering o RAG architectures and vector databases o MLOps practices * Experience with Docker ...

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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, 53% Full Time, 42% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution.

Senior Data Scientist

Entrata

Lehi, UT • On-site, Remote

$133K - $213K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Key responsibilities

  • Fine-tune and evaluate foundation models for Entrata-specific use cases using supervised fine-tuning and other post-training methods.

  • Design and curate high-quality training datasets, including instruction data, preference data, and synthetic data.

  • Conduct experiments to determine which models, datasets, prompts, and training approaches perform best for specific use cases.

Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 247 rated software companies

Job description

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata’s AI models and applications. This role will focus on fine-tuning strategy, training data, experimentation, evaluation, and identifying the approaches that produce the best outcomes for complex property management workflows.

Responsibilities:
  • Fine-tune and evaluate foundation models for Entrata-specific use cases using supervised fine-tuning and other post-training methods.
  • Design and curate high-quality training datasets, including instruction data, preference data, and synthetic data.
  • Develop evaluation frameworks and benchmarks to measure model accuracy, reasoning, reliability, and task performance.
  • Conduct experiments to determine which models, datasets, prompts, and training approaches perform best for specific use cases.
  • Perform model error analysis and identify opportunities to improve model behavior and output quality.
  • Partner with machine learning engineers to move successful experiments into production.
  • Develop approaches for measuring and improving model safety, consistency, and enterprise readiness.
  • Translate business and product problems into measurable machine learning objectives.
Minimum Qualifications:
  • 5+ years of experience in data science, machine learning, applied AI, or a related field.
  • Hands-on experience working with large language models, including fine-tuning, evaluation, or model adaptation.
  • Strong proficiency in Python and common machine learning frameworks.
  • Experience designing experiments, analyzing model performance, and working with large datasets.
  • Strong understanding of supervised learning, model evaluation, and statistical analysis.
  • Experience building or evaluating machine learning systems in production environments.
  • Ability to communicate technical findings clearly to engineering, product, and business stakeholders.
Preferred Qualifications:
  • Experience with supervised fine-tuning, preference optimization, or other LLM post-training techniques.
  • Experience creating synthetic training data or model-generated datasets.
  • Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement systems.
  • Familiarity with agentic AI systems, tool use, and retrieval-based applications.
  • Experience working with enterprise, financial, legal, operational, or other domain-specific AI applications.
  • Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity.
 
Level - P4
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.

Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.

HSA/FSA options and employer-paid disability benefits provided for eligible employees.

Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.

Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs.

Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community.

Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.

Bi-annual swag drops for employees

Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles. 

Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.

It’s a great place to work! Will you join us?

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What Entrata employees say

Pay

Hours and flexibility

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