You will see your ideas improve the experience of billions of users.","responsibilities":"In this role, you will focus on pretraining, large language model (LLM) architecture, and scientific scaling ...
You will see your ideas improve the experience of billions of users.","responsibilities":"In this role, you will focus on pretraining, large language model (LLM) architecture, and scientific scaling ...
Large Language Model (LLM) fundamentals * Strong Python development experience * Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java
Large Language Model (LLM) fundamentals * Strong Python development experience * Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java
Large Language Model (LLM) fundamentals * Strong Python development experience * Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java
Large Language Model (LLM) fundamentals * Strong Python development experience * Retrieval-Augmented Generation (RAG) * Strong experience building production-grade services using Python and/or Java
Test Engineer-AI/LLM
Palo Alto, CA · On-site
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
Quick apply
Test Engineer-AI/LLM
Palo Alto, CA · On-site
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
Data Engineer
$109K - $132K/yr
RAG Type LLM Workflows: * Develop and maintain data pipelines specifically tailored for Retrieval-Augmented Generation (RAG) type Large Language Model (LLM) workflows. * Ensure efficient data ...
Data Engineer
$109K - $132K/yr
RAG Type LLM Workflows: * Develop and maintain data pipelines specifically tailored for Retrieval-Augmented Generation (RAG) type Large Language Model (LLM) workflows. * Ensure efficient data ...
Test Engineer-AI/LLM
Palo Alto, CA · On-site
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
Test Engineer-AI/LLM
Palo Alto, CA · On-site
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
... safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end ... We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and ...
Forward Deployed AI Engineer
New York, NY · On-site
$140K - $200K/yr
About the role We're seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This ...
Forward Deployed AI Engineer
New York, NY · On-site
$140K - $200K/yr
About the role We're seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
... Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) technologies. The ideal ... Model (LLM) fundamentals • Strong Python development experience • Retrieval-Augmented ...
About the role We're seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This ...
About the role We're seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This ...
Postdoctoral Research Associate - Large Language Model/Foundational Model
Upton, NY · On-site
$70K - $85K/yr
... large language models (LLMs) and foundation models (FMs) relevant to electric power systems ... Demonstrated ability to leverage LLM and/or FM in advanced technical areas * Experience with ...
Postdoctoral Research Associate - Large Language Model/Foundational Model
Upton, NY · On-site
$70K - $85K/yr
... large language models (LLMs) and foundation models (FMs) relevant to electric power systems ... Demonstrated ability to leverage LLM and/or FM in advanced technical areas * Experience with ...
We are seeking a skilled Lead Developer with expertise in Java, Python, and Large Language Models (LLM) to join our talented team. Job Summary: As a Lead Java + Python Developer, you will be ...
Quick apply
We are seeking a skilled Lead Developer with expertise in Java, Python, and Large Language Models (LLM) to join our talented team. Job Summary: As a Lead Java + Python Developer, you will be ...
Postdoctoral Research Associate - Large Language Model/Foundational Model
Upton, NY · On-site
$70K - $85K/yr
... large language models (LLMs) and foundation models (FMs) relevant to electric power systems ... Demonstrated ability to leverage LLM and/or FM in advanced technical areas * Experience with ...
Postdoctoral Research Associate - Large Language Model/Foundational Model
Upton, NY · On-site
$70K - $85K/yr
... large language models (LLMs) and foundation models (FMs) relevant to electric power systems ... Demonstrated ability to leverage LLM and/or FM in advanced technical areas * Experience with ...
Staff Software Engineer - AI
Hoboken, NJ · On-site
$150K - $180K/yr
Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering ...
Staff Software Engineer - AI
Hoboken, NJ · On-site
$150K - $180K/yr
Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering ...
POSTDOCTORAL RESEARCHER - Neurology - Lusk Lab [Req#: 947313, Position#: 116357]
Dallas, TX · On-site
Description POSTDOCTORAL RESEARCHER - We are seeking a postdoctoral fellow to develop and evalutate large language model (LLM) and agentic AI systems for extracting, structuring, and reasoning over ...
POSTDOCTORAL RESEARCHER - Neurology - Lusk Lab [Req#: 947313, Position#: 116357]
Dallas, TX · On-site
Description POSTDOCTORAL RESEARCHER - We are seeking a postdoctoral fellow to develop and evalutate large language model (LLM) and agentic AI systems for extracting, structuring, and reasoning over ...
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
Aurora, CO · Remote
Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc ... Large Language Models and experience identifying ways to incorporate them into new areas and ...
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
Aurora, CO · Remote
Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc ... Large Language Models and experience identifying ways to incorporate them into new areas and ...
The Brixton Group is seeking an AI Security Engineer to join their team responsible for securing production-grade Large Language Model (LLM) and agentic AI platforms. This role involves designing and ...
The Brixton Group is seeking an AI Security Engineer to join their team responsible for securing production-grade Large Language Model (LLM) and agentic AI platforms. This role involves designing and ...
Stay at the cutting edge of LLM advancements, fostering continuous learning and innovation within ... Access to state-of-the-art computational resources for large-scale AI model training. Professional ...
Stay at the cutting edge of LLM advancements, fostering continuous learning and innovation within ... Access to state-of-the-art computational resources for large-scale AI model training. Professional ...
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
King Of Prussia, PA · Remote
Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc ... Large Language Models and experience identifying ways to incorporate them into new areas and ...
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
King Of Prussia, PA · Remote
Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc ... Large Language Models and experience identifying ways to incorporate them into new areas and ...
Temporary Large Language Model Llm information
See salary details
$14.66 - $16.83
5% of jobs
$18.83 is the 25th percentile. Wages below this are outliers.
$16.83 - $18.99
21% of jobs
The median wage is $21.15 / hr.
$18.99 - $21.15
23% of jobs
$21.15 - $23.32
7% of jobs
$23.32 - $25.48
11% of jobs
$27.49 is the 75th percentile. Wages above this are outliers.
$25.48 - $27.64
7% of jobs
$27.64 - $29.81
6% of jobs
$29.81 - $31.97
5% of jobs
$31.97 - $34.13
5% of jobs
$34.13 - $36.30
4% of jobs
$36.30 - $38.46
3% of jobs
$14
$24
$38
How much do temporary large language model llm jobs pay per hour?
As of Jun 22, 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?
| Aspect | Temporary Large Language Model Llm | Data Scientist |
|---|---|---|
| Required Credentials | Typically no formal degree, but expertise in AI/ML and programming | Usually requires a degree in Computer Science, Statistics, or related fields |
| Work Environment | AI development teams, research labs, tech companies | Data analysis, modeling, and business insights in various industries |
| Employer & Industry Usage | Tech firms, AI startups, research institutions | Finance, healthcare, e-commerce, and more |
| Common Search & Comparison | Focuses on AI model deployment and development | Focuses 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 are Temporary Large Language Model (LLM) roles?
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 Large Language Model (LLM) Engineer, and why are they important?
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.
More about Temporary Large Language Model Llm jobs
What cities are hiring for Temporary Large Language Model Llm jobs? Cities with the most Temporary Large Language Model Llm job openings:
What are the most commonly searched types of Large Language Model Llm jobs? The most popular types of Large Language Model Llm jobs are:
What states have the most Temporary Large Language Model Llm jobs? States with the most job openings for Temporary Large Language Model Llm jobs include:
What job categories do people searching Temporary Large Language Model Llm jobs look for? The top searched job categories for Temporary Large Language Model Llm jobs are:
![Machine Learning Researcher, Foundation Models [SWE Org]](https://www.ziprecruiter.com/svc/fotomat/public-nosensitive-ziprecruiter-logos/company/d890ba8d.png){kind=small}
$147K - $272K/yr
Full-time
Medical, Dental, Retirement
Posted 8 days ago
Apple rating
8.1
Based on 662 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.
Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning.
Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas improve the experience of billions of users.","responsibilities":"In this role, you will focus on pretraining, large language model (LLM) architecture, and scientific scaling of LLM. Experiences on full-stack LLM optimization such as mid-training, reinforcement learning, data research and kernel optimization (e.g. pallas and triton) will be a plus.
Preferred Qualifications
Code large language models.
Reinforcement learning, on-policy distillation.
Post-training, mid-training large language models.
LLM context lengthening.
Minimum Qualifications
Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, ACL) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning.
Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas improve the experience of billions of users.","responsibilities":"In this role, you will focus on pretraining, large language model (LLM) architecture, and scientific scaling of LLM. Experiences on full-stack LLM optimization such as mid-training, reinforcement learning, data research and kernel optimization (e.g. pallas and triton) will be a plus.
Preferred Qualifications
Code large language models.
Reinforcement learning, on-policy distillation.
Post-training, mid-training large language models.
LLM context lengthening.
Minimum Qualifications
Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, ACL) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976