Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
NLP LLM Specialist
Madison, WI · Remote
The Large Language Model (LLM) / Natural Language Processing (NLP) Engineer will serve as a hands ... remote and requires work be performed at an offsite, non-campus work location. The position ...
NLP LLM Specialist
Madison, WI · Remote
The Large Language Model (LLM) / Natural Language Processing (NLP) Engineer will serve as a hands ... remote and requires work be performed at an offsite, non-campus work location. The position ...
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
New
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
New
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
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 ...
Quick apply
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 ...
LLM Engineer
San Francisco, CA · On-site +1
The ideal candidate will have a deep understanding of large language models (LLMs) and their application in real-world scenarios. As an LLM Engineer at Straive, you will play a crucial role in ...
LLM Engineer
San Francisco, CA · On-site +1
The ideal candidate will have a deep understanding of large language models (LLMs) and their application in real-world scenarios. As an LLM Engineer at Straive, you will play a crucial role in ...
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
Aurora, CO · Remote
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
Aurora, CO · Remote
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
King Of Prussia, PA · Remote
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
King Of Prussia, PA · Remote
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
Familiarity with AI or large language model (LLM) systems * Background in physics education ... Fully remote and async - work on your schedule, from anywhere * Freelance flexibility: high ...
Familiarity with AI or large language model (LLM) systems * Background in physics education ... Fully remote and async - work on your schedule, from anywhere * Freelance flexibility: high ...
AI Technical Lead
Meridian, ID · On-site +1
... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Design and implement AI-powered applications including large language model (LLM) systems and ...
AI Technical Lead
Meridian, ID · On-site +1
... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Design and implement AI-powered applications including large language model (LLM) systems and ...
Multimodal LLM Researcher (MLLM)
Palo Alto, CA · On-site +1
... approaches for large multimodal language models (LLMs/VLMs/Audio LMs), and orchestrating ... Flexible on-site/remote hybrid (HQ in Palo Alto, CA) About Pika Pika empowers creators by building ...
Multimodal LLM Researcher (MLLM)
Palo Alto, CA · On-site +1
... approaches for large multimodal language models (LLMs/VLMs/Audio LMs), and orchestrating ... Flexible on-site/remote hybrid (HQ in Palo Alto, CA) About Pika Pika empowers creators by building ...
AI Technical Lead
Meridian, TX · On-site +1
... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Design and implement AI-powered applications including large language model (LLM) systems and ...
AI Technical Lead
Meridian, TX · On-site +1
... remote within a mutually acceptable location. #LI-Hybrid Success Looks Like: * AI systems move ... Design and implement AI-powered applications including large language model (LLM) systems and ...
Remote 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 remote large language model llm jobs pay per hour?
As of May 28, 2026, the average hourly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote Large Language Model (LLM) Engineer, and why are they important?
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.
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 is a Remote Large Language Model (LLM) job?
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.
What is the difference between Remote Large Language Model Llm vs Data Scientist?
| Aspect | Remote Large Language Model Llm | Data Scientist |
|---|---|---|
| Required Credentials | Advanced degrees in AI, NLP, or related fields; experience with machine learning frameworks | Degree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills |
| Work Environment | Primarily remote, focused on developing and fine-tuning language models | Remote or on-site, analyzing data, building models, and generating insights |
| Employer & Industry Usage | Tech companies, AI research labs, startups working on NLP products | Tech 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.
More about Remote Large Language Model Llm jobs
What cities are hiring for Remote Large Language Model Llm jobs? Cities with the most Remote 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 Remote Large Language Model Llm jobs? States with the most job openings for Remote Large Language Model Llm jobs include:
What job categories do people searching Remote Large Language Model Llm jobs look for? The top searched job categories for Remote Large Language Model Llm jobs are:
Other
Medical, Retirement, PTO
This job post has expired 1 day ago. Applications are no longer accepted.
Job description
Job Title: Principal AI/ML Engineer (Large Language Model)
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
Anticipated Posting End: 7/31/2026
The Opportunity:
The Principal AI/ML Engineer will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.
Responsibilities:
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Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
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Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
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Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
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Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
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Build custom applications with LLM frameworks such as LangChain, DSPy
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Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
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Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
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Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
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Interface with both internal and external leadership to communicate technical status
Qualifications:
Required:
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BS in machine learning, computer science, mathematics, or related fields.
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10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
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Fine-tuning foundational models
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Steering Techniques (e.g Sparse auto encoders, representation tuning)
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Building adapters to use foundational models (e.g. PEFT, llama factory)
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Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
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Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
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Using LLM Frameworks (e.g. LangChain, DSPy)
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Using AI APIs ( e.g AWS Bedrock, OpenAI)
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Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
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Developing UIs with ReAct
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Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
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Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc.)
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Active TS/SCI U.S. Government Security Clearance
Desired:
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MS or PhD in machine learning, computer science, mathematics, or related fields.
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Experience leading an interdisciplinary team of researchers and software developers
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Experience with any of the following Computer Vision domains:
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Large Language Models and experience identifying ways to incorporate them into new areas and applications
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Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
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Object detection algorithms such as YOLO and Faster-RCNN
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Natural Language Processing algorithms such as BERT
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Generative Adversarial Networks and Variational Autoencoders
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Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
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Applying clustering algorithms and/or deep neural networks to real life problems
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Implementing tracking and pattern-of-life algorithms
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Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
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Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
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Experience with Linux
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Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
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Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
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Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
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Experience with implementing tracking and pattern-of-life algorithms
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Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
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Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
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Experience shaping and writing proposals
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range :
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$114,600-$252,100
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.