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Internship Large Language Model Llm Jobs in Boston, MA

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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 29, 2026, the average hourly pay for internship large language model llm in Boston, MA is $18.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.91 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.

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Infographic showing various Internship Large Language Model Llm job openings in Boston, MA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $39,105 per year, or $18.8 per hour.

Data Scientist - Large Language Model (LLM)

Boston, MA • On-site

Saviance
IT Services • 201 - 500 employees

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Saviance is a technology company specializing in professional services and consulting with a focus on natural language processing innovation. They are seeking a Data Scientist to develop and enhance large language model applications, specifically in the healthcare industry, collaborating with research and engineering teams to optimize language models.
Responsibilities:
• Reinforcement Learning Expertise: Conduct advanced research and have a track record of scientific publications in reinforcement learning, including Q-learning, value-iteration methods, DQN, double DQN, actor-critic, and Proximal Policy Optimization.
• NLP and Transformers Mastery: Demonstrate deep knowledge, publications and hands-on experience with transformers and attention networks in NLP, including proficiency with the Hugging Face Transformers library and models.
• Model Development: Design, develop, and optimize large language models using cutting-edge transformer architectures and attention mechanisms, supported by proven code and projects.
• Data Structures and Algorithms: Possess a comprehensive understanding of data structures and algorithms, applying them effectively to address complex NLP challenges.
• Unix Proficiency: Be proficient in Unix-based systems to facilitate efficient data processing and model development workflows.
• Python Development: Bring at least 3-5 years of extensive Python development experience, with a focus on data science, machine learning, and AI projects.
• Prompt Engineering: Efficient and intensive prompt engineering expertise.
• LLM Infrastructure and engineering: Experience with various options for setting up the LLM infrastructure in the cloud.
Qualifications:
Required:
• Hold a Master's or Ph.D. in computer science or a related field.
• Present a proven track record of scientific publications in reinforcement learning, showcasing expertise in various RL methods.
• Demonstrate in-depth understanding and hands-on experience and proven scientific publications with transformers and attention networks for NLP, including familiarity with the Hugging Face Transformers library and models.
• Demonstrated ability to fine tune language models in multi-GPU environment.
• Possess a strong grasp of data structures and algorithms, with the ability to apply them effectively to solve intricate NLP problems.
• Exhibit proficiency in Unix-based systems for efficient data processing and development tasks.
• Have a minimum of 3-5 years of hands-on experience in Python development, with a particular focus on data science, machine learning, and AI.
• Moreover, at least 4-8 years of experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in other Client algorithms and libraries.
• Showcase exceptional problem-solving skills and a creative approach to tackling complex NLP challenges.
• Possess strong verbal and written communication skills, enabling effective collaboration with cross-functional teams.
Preferred:
• Conduct advanced research and have a track record of scientific publications in reinforcement learning, including Q-learning, value-iteration methods, DQN, double DQN, actor-critic, and Proximal Policy Optimization.
• Demonstrate deep knowledge, publications and hands-on experience with transformers and attention networks in NLP, including proficiency with the Hugging Face Transformers library and models.
• Design, develop, and optimize large language models using cutting-edge transformer architectures and attention mechanisms, supported by proven code and projects.
• Possess a comprehensive understanding of data structures and algorithms, applying them effectively to address complex NLP challenges.
• Be proficient in Unix-based systems to facilitate efficient data processing and model development workflows.
• Bring at least 3-5 years of extensive Python development experience, with a focus on data science, machine learning, and AI projects.
• Efficient and intensive prompt engineering expertise.
• Experience with various options for setting up the LLM infrastructure in the cloud.
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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