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

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Engage in dynamic, prompt-driven conversations with language models, challenging them with work ...

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 ...

This is a remote work opportunity Insight at a Glance * 14,000+ engaged teammates globally * $8.2 ... Demonstrated experience with Generative AI and Large Language Models (LLMs), with direct expertise ...

Senior Project Manager

Phoenix, AZ · On-site +1

$130K - $160K/yr

May be eligible for a fully remote work schedule per company policy. * Competitive Salary : $130k ... Large Language Models, vibe-coding platforms, and securely integrating advanced tools into every ...

Senior Project Manager

Phoenix, AZ · On-site +1

$130K - $160K/yr

May be eligible for a fully remote work schedule per company policy. * Competitive Salary : $130k ... Large Language Models, vibe-coding platforms, and securely integrating advanced tools into every ...

Senior Mechanical Engineer

Phoenix, AZ · On-site +1

$128K - $169K/yr

Remote or hybrid work arrangements for this role are not available. At SSOE, we don't just talk ... Large Language Models, vibe-coding platforms, and securely integrating advanced tools into every ...

Senior Architect

Scottsdale, AZ · On-site +1

$120K - $160K/yr

As a leader in industry AI adoption, we empower our team to work smarter by providing responsible access to the industry leading AI Large Language Models, vibe-coding platforms, and securely ...

As a leader in industry AI adoption, we empower our team to work smarter by providing responsible access to the industry leading AI Large Language Models, vibe-coding platforms, and securely ...

Showing results 21-40

Remote Large Language Model Llm information

What is a remote large language model LLM?

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?

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:

AI Data Trainer - MS Suite - Remote

micro1 AI

Tucson, AZ • Remote

$35 - $50/hr

Part-time

Re-posted 8 days ago


Job description

Role Title: Business Document Expert (Excel, PowerPoint, Word)


Role Type: Contractor


Location: Remote


micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a project designed to advance AI capabilities in professional business documentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Scope of Work


  1. Design and create realistic business tasks and scenarios based on your professional experience involving complex PowerPoint, Excel, and Word deliverables.
  2. Engage in dynamic, prompt-driven conversations with language models, challenging them with work representative of Fortune 500 business environments.
  3. Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy, and effectiveness for real-world business needs.
  4. Develop and submit detailed assessments highlighting strengths, weaknesses, and areas for model improvement based on your domain expertise.
  5. Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background.
  6. Document findings and provide actionable feedback to inform the ongoing development of AI systems for business documentation use cases.
  7. Collaborate asynchronously with project coordinators to ensure the authenticity and utility of submitted challenges and evaluations.


Preferred Qualifications

  1. At least 3 years of hands-on experience in business settings across finance, healthcare, consulting, tech, retail, or related industries.
  2. Extensive proficiency with advanced Excel, PowerPoint, and Word—creating complex models, reports, presentations, and analyses.
  3. Direct experience supporting or driving projects in strategy, operations, sales, marketing, finance, or HR functions within a Fortune 500 context.
  4. Expertise in designing nuanced business scenarios that reflect challenging, high-impact office deliverables.
  5. Strong written and verbal communication skills, with the ability to clearly articulate feedback and rationale in documentation.
  6. Familiarity with conversational interactions or prompt engineering with language models is a plus, but not required.