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

AI Builder

Glendale, AZ ยท On-site +1

$7 - $8/hr

Integrate LLMs (Large Language Models) into web or business applications * Build automation ... Remote Hourly salary $7 - $8

... in AI/ML technologies, including Large Language Models (LLMs), prompt engineering, model ... Handson experience with GenAI / LLM integrations , including prompt management, orchestration ...

Senior Network Engineer

Chandler, AZ ยท On-site

$100K - $137K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... large scale LAN/WAN networks devices that include Cisco Routers, Switches, firewall and other ...

ChatGPT Tutor

Mesa, AZ ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

ChatGPT Tutor

Scottsdale, AZ ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

ChatGPT Tutor

Glendale, AZ ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

ChatGPT Tutor

Phoenix, AZ ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

ChatGPT Tutor

Gilbert, AZ ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

ChatGPT Tutor

Tucson, AZ ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

ChatGPT Tutor

Chandler, AZ ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

ChatGPT Tutor

Tempe, AZ ยท Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Remote will be considered HOW YOU'LL SPEND YOUR TIME * Lead the Design, develop, and deploy ... This can involve exploring LLMs (Large Language Models), embedding pipelines, and generative AI ...

Knowledge of Large Language Models (LLMs), Agentic AI, and Model Context Protocol (MCP) and their ... We offer competitive compensation, a remote-first lifestyle, and career growth opportunities across ...

You will have the flexibility to work fully remote from anywhere across Arizona. Insight at a ... GenAI Evangelism: Act as the subject matter expert on Gemini and Large Language Models (LLMs ...

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Showing results 1-20

Remote Large Language Model Llm information

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.

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, 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.

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 Arizona? The most popular types of Large Language Model Llm jobs in Arizona are:
What are popular job titles related to Remote Large Language Model Llm jobs in Arizona? For Remote Large Language Model Llm jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Large Language Model Llm jobs in Arizona look for? The top searched job categories for Remote Large Language Model Llm jobs in Arizona are:
What cities in Arizona are hiring for Remote Large Language Model Llm jobs? Cities in Arizona with the most Remote Large Language Model Llm job openings:

Senior Financial Analyst, AI Finance Transformation

Dutchbros

Tempe, AZ โ€ข On-site, Remote

$83K - $103K/yr

Full-time

Posted 21 days ago


Job description

It's fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.

Position Overview:
Dutch Bros is launching an AI-driven Finance Transformation initiative, and we are hiring our foundational team members. In this role, you will blend your FP&A or strategic finance expertise with a passion for AI and automation to modernize how our Finance team operates. You will spend your days experimenting with cutting-edge tools (e.g. Python, large language models like Claude, AI coding assistants like Cursor, etc.), prototyping solutions, and automating processes. Your work will directly support Finance leadership (including our Senior Finance Manager for Real Estate) by exploring what is possible with AI in finance. This is not a typical forecasting or close role, and it is not an academic AI research position. It is an opportunity to build and iterate on real-world finance use cases, from automating reports and decks to developing mini-apps and AI copilots for our team. We encourage experimentation: not every idea has to reach production, but each will drive learning and progress towards a "Finance AI Incubator" capability within Dutch Bros.
Job Qualifications:

  • Finance Background: 4+ years of experience in FP&A, strategic finance, or a related analytical finance role. Strong understanding of financial statements, key metrics (revenue, margins, EBITDA), and typical FP&A workflows.

  • Analytical & Technical Aptitude: Advanced Excel skills and proven analytical prowess. Exposure to Python and SQL (through work projects or personal experimentation) and genuine enthusiasm to become more proficient. You've dabbled with modern AI/analytics tools (e.g., tried out Claude Code/Cowork for analysis or used a tool like Power BI/Excel's Power Query) and are excited to deepen those skills.

  • Curiosity & Learning Mindset: Highly curious and coachable, with a self-starter attitude toward learning new technologies. Comfortable exploring unfamiliar tools, asking questions, and iterating solutions. Not afraid to admit what you do not know and driven to figure it out.

  • Communication & Collaboration: Ability to communicate complex ideas in simple terms and build trust across teams. You can take a request from a finance leader and run with it, with a proven ability to regularly provide updates.

Preferred Qualifications:

  • Automation Experience: Hands-on experience automating a process or building a tool in a prior role for instance, writing a Python script to streamline a report, or creating a dynamic dashboard.

  • Education & Continuous Learning: Bachelor's degree in Ffinance, Economics, Data Science, or related field. Additional coursework or certifications in Data Analytics, AI, or Machine Learning are a bonus. Active interest in the data/AI community (e.g., online courses, hackathons, forums) shows you stay curious and engaged.

  • AI/LLM Familiarity: Experience with large language model tools or AI assistants, and familiarity with AI coding copilots or IDEs. Expert-level knowledge is not required, but any prior experimentation or project in this area is a big plus.

  • Industry & Systems Knowledge: Industry experience with Retail or Consumer Goods finance is helpful. Familiarity with data environments (e.g., cloud databases) is a plus.

Location Requirement:
This role is located in Tempe, Arizona. This position is required to be in office 4 days per week (Mon-Thurs); Fridays are optional remote work days.
Key Result Areas (KRAs):

  • Prototype AI Use Cases: Experiment with AI/LLM tools (e.g., Copilot or Claude Code/Cowork, AI copilots like Cursor for coding assistance) to develop proof-of-concept solutions. For example, build a draft "financial analysis assistant" that can answer ad hoc questions, or a model that flags unusual expense patterns. Iterate on prototypes, knowing some will succeed, some will fail, both outcomes are learning opportunities.

  • Automate Finance Workflows: Identify and streamline manual finance processes. Use Python, SQL, or AI/LLM tools to create scripts or bots that auto-generate reports and presentations, unlocking more time for interpretation and strategic partnership.

  • Develop Internal Tools & Dashboards: Build lightweight tools or dashboards that empower the FP&A team. This could mean creating an internal web app for self-service data pulls, designing a dashboard for real-time metrics, or enhancing Excel models with Python-driven automation. Always ensure the tools are user-friendly and add real value to finance partners.

  • Data Leverage & Analysis: Ensure finance data is accessible and reliable by integrating data sources (Snowflake, D365, ERP systems) into analytical models. Conduct ad hoc analysis using advanced analytics (e.g., statistical or AI techniques) to support real-time business questions. Perform ad hoc analyses combining your finance acumen with data techniques (like scenario simulations or variance explanations using advanced analytics) to support quick decision-making.

  • Collaboration & Knowledge Sharing: Work side-by-side with finance leaders to understand their needs and pain points, translating them into technical solutions or prototypes. Document your processes and results and explain complex methods in plain language to ensure adoption. Foster a learning culture by showing colleagues what is possible with new tools, without overwhelming them. You will effectively be a tech translator and coach within finance, as well as a builder.

Skills:

  • Financial Analysis

  • Data Analysis and Interpretation

  • AI Processes & Workflow

  • Financial Modeling

  • Business Acumen

  • Collaboration


Physical Requirements:

  • In-Office Environment:Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions

  • Must be able to collaborate in-person with occasional impromptu in-person meetings

  • Office Conditions:Adaptability to typical office conditions, which may include exposure to air conditioning, heating, artificial lighting, and varying noise levels

  • Mobility: Ability to sit, stand, reach, twist, stretch, and work at a desk for long stretches. Must be able to occasionally move or lift office items up to 25 pounds

  • Hearing Requirements:Hearing must be sufficient or correctable to ensure clear understanding of spoken information, including participating in virtual meetings and phone calls. Use of hearing aids or other assistive devices is acceptable if needed.

  • Reading and Writing Proficiency:Ability to read and write in English is essential for processing documents, drafting reports, and following up on necessary actions. Proficiency in written communication is required to handle job-related tasks effectively.

  • Vision Requirements:Vision must be adequate or correctable to perform essential job duties, such as reading documents on a computer screen and using other visual tools. Use of corrective lenses or other measures to meet visual requirements is expected if needed.

  • Technology Proficiency:Must be proficient in operating a computer and other office productivity tools such as printers, scanners, and collaboration software.

  • Effective Communication:Must possess strong verbal and written communication skills to interact effectively with team members, clients, and other stakeholders via email, video conferencing, and other in office communication tools.

Compensation:

DOE

If you like wild growth and working in a unique and fun environment, surrounded by positive community, you'll enjoy your career with us!