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Internship Large Language Model Llm information

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How much do internship large language model llm jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship large language model llm in Seattle, WA is $19.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What is an internship in large language model (LLM)?

An Internship in Large Language Model (LLM) typically involves working with advanced artificial intelligence models like GPT or similar technologies. Interns in this field assist with tasks such as data preparation, model training, evaluation, and deployment of natural language processing applications. They may also contribute to research, experimentation, and development of new model features or performance improvements. This role provides hands-on experience in AI, machine learning, and natural language processing, often requiring knowledge of programming, data science, and AI concepts.

What types of projects do interns typically work on during a large language model (LLM) internship?

During a Large Language Model (LLM) internship, interns often participate in projects such as data preprocessing, fine-tuning models on specific tasks, evaluating model outputs, and developing tools for model interpretability. Interns may collaborate closely with research scientists and engineers, contributing to both experimental and production-level code. These projects provide practical experience with natural language processing pipelines and exposure to the latest advancements in AI, making it a valuable learning opportunity for those interested in a career in machine learning and artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship large language model (LLM) specialist?

To thrive as an Internship Large Language Model (LLM) specialist, you need a solid grasp of machine learning fundamentals, natural language processing, and proficiency in programming languages like Python, often supported by coursework or research in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, Hugging Face Transformers, and experience using cloud platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and present complex ideas clearly. These competencies are crucial for developing, evaluating, and refining LLMs to create impactful AI solutions.

What is the difference between Internship Large Language Model Llm vs Data Scientist Intern?

AspectInternship Large Language Model LlmData Scientist Intern
Required CredentialsRelevant coursework, programming skills, knowledge of NLPStatistics, programming, data analysis
Work EnvironmentAI research labs, tech companies, startupsData analysis teams, tech firms, research institutions
Employer & Industry UsageAI development, NLP projects, machine learningData analysis, predictive modeling, business insights

Both roles involve data and programming skills, but Internship Large Language Model Llm focuses on natural language processing and AI model development, while Data Scientist Interns work on analyzing data to generate insights. The choice depends on your interest in AI/NLP versus data analysis and business applications.

What are the most commonly searched types of Large Language Model Llm jobs in Seattle, WA?

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Internship Large Language Model Llm jobs near you
Infographic showing various Internship Large Language Model Llm job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $40,963 per year, or $19.7 per hour.

AI Researcher - Large Language Models (LLMs)

ResourceWell

Redmond, WA • On-site

Full-time

Medical, Retirement

Re-posted 21 days ago

Job description

AI Researcher - Large Language Models (LLMs) Join our client's Research and Development (AI/ML Team) in Redmond, where innovation meets impact. Their team is at the forefront of AI research, specialising in cutting-edge advancements in Large Language Models (LLMs) and generative AI. They offer a dynamic, collaborative environment where visionary researchers drive transformative projects with real-world impact.

What You'll Do As an AI Researcher, you will: Conduct pioneering research on LLMs, focusing on architecture, training, optimization, and fine-tuning methodologies. Design and implement advanced data preparation workflows, including data cleaning, augmentation, and synthetic data generation. Develop scalable training pipelines for LLMs using distributed computing and state-of-the-art optimization algorithms.

Explore multi-modal AI systems, integrating LLMs with other data types such as vision and audio. Publish high-impact research in top-tier journals and conferences like IEEE, enhancing the field of AI. Mentor junior researchers, sharing best practices to inspire impactful AI innovations.

Stay at the cutting edge of LLM advancements, fostering continuous learning and innovation within the team. Requirements Required Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with research emphasis on NLP, LLMs, or generative AI

Demonstrated expertise in training and fine-tuning large-scale language models (e.g., GPT, BERT, T5). Strong publication record in IEEE or equivalent journals/conferences related to LLM training, data preparation, or synthetic data generation. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX

Hands-on experience in large-scale data processing and distributed training techniques. Preferred Qualifications: Experience with RAG and multi-modal AI systems. Expertise in domain-specific LLM fine-tuning and data augmentation.

Familiarity with synthetic data generation tools and platforms like Apache Spark or Dask. Proven leadership and mentoring abilities in a research settings. Benefits What Our Client Offers Competitive Salary: Reflective of your expertise and experience.

Cutting-Edge Infrastructure: Access to state-of-the-art computational resources for large-scale AI model training. Professional Growth: Opportunities to publish in prestigious venues and collaborate with leading AI experts. Real-World Impact: Be a part of transformative AI projects shaping industries.

Comprehensive Benefits: Robust health coverage, retirement plans, and more. Why Join Our Client. By joining, you will: Lead groundbreaking research in the field of LLMs and generative AI.

Collaborate with a team of industry-leading AI researchers. Drive innovation in a supportive and dynamic environment. Contribute to projects with significant societal and industrial implications.

Next Steps Ready to revolutionize the future of AI. Apply today. Applications will be reviewed on a rolling basis.

Location This position is based in Redmond. Equal Opportunity We value diversity and are committed to creating an inclusive environment for all employees.

Apply