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Volunteer Llm Engineer Intern Jobs in Renton, WA

Spatium Lab LLC

AI Engineer Intern

Bellevue, WA · On-site

$82.66 - $165.31/hr

RAG, LLM Integration, Function Calling, AWS Bedrock, MCP/A2A Build AI-powered features for B2B SaaS that handle real customer data securely. This is practical AI engineering, not research--you'll ...

Ryan Companies

Field Engineer Intern

Seattle, WA · On-site

$20 - $25/hr

The Field Engineer Intern will assist superintendents with daily duties including: * Assisting with ... Paid Time for Volunteer Events Disclaimer: Eligibility may vary based on factors such as role ...

Ryan Companies

Field Engineer Intern

Seattle, WA

$20 - $25/hr

The Field Engineer Intern will assist superintendents with daily duties including: * Assisting with ... Paid Time for Volunteer Events Disclaimer: Eligibility may vary based on factors such as role ...

Ryan Companies

Scheduling Engineer Intern

Seattle, WA

$20 - $25/hr

As a Construction Scheduling Intern at Ryan, you'll work side by side with our scheduling team and ... Paid Time for Volunteer Events Disclaimer: Eligibility may vary based on factors such as role ...

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Volunteer Llm Engineer Intern information

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$10

$21

$41

How much do volunteer llm engineer intern jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for volunteer llm engineer intern in Renton, WA is $21.80, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $24.33 per hour, depending on experience, location, and employer.

What is a Volunteer LLM Engineer Intern?

A Volunteer LLM Engineer Intern is an individual who assists in developing, fine-tuning, or implementing Large Language Models (LLMs) on a volunteer (unpaid) basis, usually as part of a research team or organization. They typically help with tasks such as data preprocessing, model training, evaluation, and improving LLM performance. These interns gain hands-on experience with cutting-edge AI technologies and may contribute to open-source projects or academic research. The role is ideal for students or early-career professionals seeking practical exposure to natural language processing and AI development.

What types of projects and responsibilities can I expect as a Volunteer LLM Engineer Intern?

As a Volunteer LLM Engineer Intern, you'll likely support the development, fine-tuning, and evaluation of large language models (LLMs) under the guidance of experienced engineers. Your daily tasks may involve data preprocessing, running model experiments, analyzing results, and contributing to documentation. You’ll often collaborate with data scientists, machine learning engineers, and sometimes research teams, gaining exposure to real-world NLP challenges. This role offers a valuable opportunity to build hands-on experience with cutting-edge AI technologies and learn best practices for working on scalable ML projects in a collaborative, often remote, team environment.

What are the key skills and qualifications needed to thrive as a Volunteer LLM Engineer Intern, and why are they important?

To thrive as a Volunteer LLM Engineer Intern, you need a foundational understanding of machine learning algorithms, natural language processing, and proficiency in Python, often supported by coursework or hands-on projects. Familiarity with frameworks like PyTorch or TensorFlow, as well as experience with tools such as Hugging Face Transformers, are commonly expected. Strong problem-solving abilities, collaboration, and a willingness to learn new concepts make a candidate stand out in this role. These skills are crucial to effectively contribute to model development, stay current with advancements, and work efficiently within a team environment.

What is the difference between Volunteer Llm Engineer Intern vs Volunteer Data Scientist Intern?

AspectVolunteer Llm Engineer InternVolunteer Data Scientist Intern
Required CredentialsBasic knowledge of machine learning, programming, and NLPBackground in statistics, data analysis, and programming
Work EnvironmentTech companies, research labs, AI startupsTech firms, research institutions, data-driven organizations
Employer & Industry UsageAI development, NLP projects, machine learning researchData analysis, predictive modeling, data visualization

Volunteer Llm Engineer Interns focus on developing and fine-tuning language models using machine learning and NLP techniques, often working on AI projects. Volunteer Data Scientist Interns analyze data sets, build predictive models, and generate insights. While both roles require programming skills, Llm Engineer Interns specialize in language models, whereas Data Scientist Interns focus on data analysis and visualization. Both positions are common in tech and research environments, but their core tasks differ based on their focus areas.

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Volunteer Llm Engineer Intern jobs near you
Infographic showing various Volunteer Llm Engineer Intern job openings in Renton, WA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $45,336 per year, or $21.8 per hour.

AI Engineer Intern

Spatium Lab LLC

Bellevue, WA • On-site

$82.66 - $165.31/hr

Other

Posted 12 days ago

Job description

RAG, LLM Integration, Function Calling, AWS Bedrock, MCP/A2A

Build AI-powered features for B2B SaaS that handle real customer data securely. This is practical AI engineering, not research—you'll ship production systems that integrate LLMs, implement RAG pipelines, and build agent workflows. We're looking for engineers who understand that AI in production means thinking about security, multi-tenancy, costs, and reliability, not just prompts.

  • Design and implement RAG pipelines for engineering documentation and knowledge bases
  • Build function/tool calling systems with structured outputs and reliable execution
  • Integrate LLMs via AWS Bedrock, GCP Vertex AI, or OpenAI APIs
  • Develop MCP (Model Context Protocol) servers and A2A (Agent-to-Agent) workflows
  • Implement secure, multi-tenant AI features that protect customer data isolation
  • Build background task pipelines (Celery, SQS) for async AI processing at scale
  • Create embeddings pipelines and manage vector databases for semantic search
  • Monitor AI system performance, costs, and quality metrics in production
Requirements
  • Strong Python skills with async programming experience
  • Understanding of transformer architectures and LLM fundamentals—how they work, not just how to call them
  • Experience building with LangChain, LlamaIndex, or similar orchestration frameworks
  • Knowledge of vector databases (Pinecone, Weaviate, Chroma, pgvector)
  • Familiarity with AWS or GCP cloud services and containerization (Docker)
  • Understanding of security principles for multi-tenant systems—data isolation matters
  • Experience with message queues and background processing (Celery, SQS, Redis)
  • Self-directed problem solver who designs solutions, not just implements specs
  • Proficient with AI coding tools and prompt engineering—you've built with these, not just experimented
  • Prior professional experience not required if portfolio demonstrates real AI engineering capability
  • Competitive hourly compensation
  • Flexible schedule (full-time summer or part-time year-round)
  • Direct mentorship from founders and senior engineers
  • Real project ownership with production impact
  • Path to full-time conversion for exceptional performers
  • Modern tech stack and cutting-edge AI tools
  • Small team, high autonomy environment
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