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Temporary Large Language Model Llm Jobs (NOW HIRING)

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

This role focuses on engineering production-ready machine learning applications, Large Language Model (LLM) solutions, and cloud-native ML platforms while partnering closely with Data Science teams ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

Founded by Harvard-trained physicians with a vision of offering patient-first care beyond the hospital settings, we've grown into the nation's largest network of outpatient vein, fibroid, vascular ...

USA Clinics Group

LLM Engineer

Northbrook, IL

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

Droisys

Principal AI Engineer

Dallas, TX · On-site

This role requires expertise in building and deploying Large Language Model (LLM)-powered, production-grade systems within regulated enterprise environments. You will be responsible for end-to-end ...

Oxford Global Resources

AI Architect

OR · Remote

Artificial and Large Language Model Architect As an AI & LLM Architect , you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large ...

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Temporary Large Language Model Llm information

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How much do temporary large language model llm jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for temporary large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

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

AspectTemporary Large Language Model LlmData Scientist
Required CredentialsTypically no formal degree, but expertise in AI/ML and programmingUsually requires a degree in Computer Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesData analysis, modeling, and business insights in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, and more
Common Search & ComparisonFocuses on AI model deployment and developmentFocuses on data analysis and insights

The main difference is that a Temporary Large Language Model Llm is an AI system or model used for language processing, while a Data Scientist analyzes data to generate insights. The Llm is a tool or product, whereas the Data Scientist is a professional role that may utilize models like Llm in their work.

What are the typical challenges faced by professionals working in a temporary large language model LLM role, and how can they be addressed?

Professionals in temporary Large Language Model (LLM) roles often encounter challenges such as quickly adapting to new datasets, ensuring data privacy, and optimizing model performance within tight deadlines. Since these roles are project-based, there may be limited onboarding time, requiring a strong ability to learn and collaborate rapidly with cross-functional teams like data engineers and product managers. To succeed, it's helpful to be proactive in seeking clarification, documenting work thoroughly, and staying updated on the latest advancements in LLM technologies.

What is a temporary large language model LLM?

Temporary Large Language Model (LLM) roles involve short-term positions where individuals work with or support the development, training, or deployment of large language models like GPT or similar AI technologies. These roles may include tasks such as data annotation, prompt engineering, model evaluation, or assisting in content moderation powered by LLMs. Temporary LLM roles are often project-based and can be found in tech companies, research labs, or organizations utilizing AI for various applications. They generally require familiarity with AI concepts, attention to detail, and sometimes programming skills.

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

To thrive as a Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with tools like Python, TensorFlow or PyTorch, and experience with cloud platforms and version control systems is typically required. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate and innovate in complex projects. These skills are crucial for developing, fine-tuning, and deploying LLMs that deliver accurate and ethical AI solutions.
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Temporary Large Language Model Llm jobs near you
Infographic showing various Temporary Large Language Model Llm job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.

Manager, Large Language Model Inference

Nvidia

Santa Clara, CA • Hybrid

Full-time

Re-posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies

Job description

At NVIDIA, we aren't just powering the AI revolution-we're accelerating it. The TensorRT inference platform is the backbone of modern AI, delivering the industry's fastest and most efficient deployment of cutting-edge deep learning models on every NVIDIA GPU. With demand for AI exploding, particularly in the realm of large language models (LLMs) and vision language models (VLMs, VLAs), we are significantly expanding our team. We're seeking a highly skilled and driven Engineering Manager to take the lead in developing the next generation of LLM/VLM/VLA inference software technologies that will define the future of AI. This is a high-impact, hands-on leadership role at the intersection of deep technical expertise and world-class management. You won't just manage; you'll architect and guide a brilliant team of engineers who are building the core LLM inference runtime. Your work will be highly collaborative, interfacing directly with NVIDIA Researchers, GPU Architects, and other teams across the company to ensure we ship production-grade, lightning-fast software that sets the global standard for AI performance.

What You'll Be Doing:

  • Lead and grow a team responsible for specialized kernel development, runtime optimizations, and frameworks for LLM inference.

  • Drive the design, development, and delivery of production inference software, targeting NVIDIA's next-generation enterprise and edge hardware platforms.

  • Integrating cutting-edge technologies developed at NVIDIA and offering an intuitive developer experience for LLM deployment.

  • Lead software development execution, with responsibility for project planning, milestone delivery, and cross-functional coordination.

What We Need to See:

  • MS, PhD, or equivalent experience in Computer Science, Computer Engineering, AI, or a related technical field.

  • 7+ overall years of overall software engineering experience, including 3+ years of technical leadership experience.

  • Proven ability to lead and scale high-performing engineering teams, especially across distributed and cross-functional groups.

  • Strong background in C++ or Python, with expertise in software design and delivering production-quality software libraries.

  • Demonstrated expertise in large language models (LLM) and/or vision language models (VLM).

Ways to Stand Out from the Crowd:

  • Deep understanding of GPU architecture, CUDA programming, and system-level performance tuning.

  • Background in LLM inference or working with frameworks such as TensorRT-LLM, vLLM, or SGLang.

  • Passion for building scalable, user-friendly APIs and enabling developers in the AI ecosystem.

  • Have a proven track record of growing and managing a team that encourages idea sharing, empowers team members, and provides opportunities for professional growth.

We are widely considered to be one of the technology world's most desirable employers, and we have some of the most forward-thinking and hardworking people in the world working with us. Due to outstanding growth, our best-in-class teams are rapidly growing. If you're a creative self-starter with a real passion for technology, then come join us.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 2, and 224,000 USD - 356,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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