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Intern Llm Researcher Jobs (NOW HIRING)

Samaya AI

ML Research Intern

Mountain View, CA

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge ... Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents ...

Labelbox

Applied Research Intern

San Francisco, CA · On-site

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ... Passion and experience for LLM evaluation and benchmarking. * Expertise in training data quality ...

Mountain Capital Partners

People Team Intern

Durango, CO · On-site

$16 - $20/hr

What a People Team Intern does This role is a generalist intern position with three prioritized ... Conduct brief, focused AI/LLM research assignments (summaries, prompt testing) 3) Building ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Nelnet, Inc.

Intern - AI Engineer

Lincoln, NE · On-site

Join Nelnet as an intern and do real work that matters to our business. All Nelnet interns receive ... Technical Research: Track developments in LLM frameworks, agent architectures, tooling, and ...

Fujitsu

Agentic AI Research Intern

Santa Clara, CA · On-site

$40 - $50/hr

FUJITSU RESEARCH OF AMERICA, INC. (FRA) was established in 1993 as a wholly owned subsidiary of ... We are seeking a highly motivated PhD intern to work on LLM-based agents for end-to-end software ...

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How much do intern llm researcher jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for intern llm researcher in the United States is $18.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.

What are Intern LLM Researchers?

Intern LLM Researchers are students or early-career professionals who work temporarily in organizations to assist with research and development of large language models (LLMs) such as GPT or BERT. Their responsibilities often include conducting literature reviews, experimenting with model architectures, cleaning and preparing datasets, and evaluating model performance. These internships provide hands-on experience with state-of-the-art AI technologies and exposure to the latest advancements in natural language processing. Intern LLM Researchers typically work under the guidance of senior engineers or scientists and may contribute to published research or new product features.

What types of projects and responsibilities can an Intern LLM Researcher expect to work on during their internship?

As an Intern LLM Researcher, you'll typically contribute to ongoing research projects focused on large language models (LLMs), such as developing new model architectures, evaluating model performance, or preparing and cleaning datasets. You may collaborate closely with senior researchers and data scientists, participate in literature reviews, and help design experiments to test new ideas. It's common to work in a team-oriented environment where knowledge-sharing and regular meetings are encouraged, providing you with opportunities to learn from experienced professionals. This role offers hands-on experience with state-of-the-art tools and frameworks, and a chance to build a strong foundation for a future career in AI research.

What are the key skills and qualifications needed to thrive as an Intern LLM Researcher, and why are they important?

To thrive as an Intern LLM Researcher, you need a solid background in computer science, mathematics, and machine learning, often supported by coursework or research experience in natural language processing (NLP). Familiarity with programming languages like Python and frameworks such as PyTorch or TensorFlow, along with knowledge of transformer architectures, are typically required. Strong analytical thinking, curiosity, and effective communication skills help interns contribute to research projects and collaborate with teams. These competencies are crucial for successfully advancing language model research and translating findings into impactful solutions.

What is the difference between Intern Llm Researcher vs Legal Research Intern?

AspectIntern Llm ResearcherLegal Research Intern
CredentialsLLM student or recent graduateUndergraduate or law student
Work EnvironmentLaw firms, legal departments, research institutionsLaw firms, legal clinics, academic settings
Industry UsageLegal research, policy analysis, academic projectsLegal case research, document review, legal writing

The Intern Llm Researcher typically has an advanced law degree or is pursuing one, focusing on in-depth legal research and analysis. The Legal Research Intern is usually an undergraduate or law student gaining practical experience in legal research tasks. Both roles are common in legal settings, but the Intern Llm Researcher often handles more complex research projects related to academic or policy work, while the Legal Research Intern supports case preparation and document review.

What cities are hiring for Intern Llm Researcher jobs? Cities with the most Intern Llm Researcher job openings:
What are the most commonly searched types of Llm Researcher jobs? The most popular types of Llm Researcher jobs are:
What states have the most Intern Llm Researcher jobs? States with the most job openings for Intern Llm Researcher jobs include:
Intern Llm Researcher jobs near you
Artificial Intelligent LLM Research & Development Co-Op / Intern

Artificial Intelligent LLM Research & Development Co-Op / Intern

Pereless Systems

Red Bank, NJ

$15.50 - $20.50/hr

Internship

Posted 28 days ago

Be an early applicant

Job description

At Pereless Systems, we are the leading recruiting cloud platform since 2000, we are at the forefront of AI and machine learning innovation, driving solutions that impact the future. Our team is dedicated to creating cutting-edge technologies that enhance human capabilities and streamline processes. We are currently seeking a passionate and skilled AI LLM Co-op/Intern to join our dynamic team. This role is an exciting opportunity to train and tune existing open-source models with resume content and provide summary and prediction for future applicants.

Why Join Us?

Pereless Systems offers a dynamic and supportive work environment where innovation and initiative are celebrated. As part of our team, you'll have the opportunity to work on groundbreaking projects and make substantial contributions to the field of AI. We provide comprehensive mentorship, professional development opportunities, and a network of industry experts to ensure your co-op/internship experience is exceptionally rewarding.

As an AI LLM Co-op/Intern, you will work closely with our AI research and development team to contribute to the enhancement of our AI systems. Your primary focus will be on the training and tuning of existing open-source language model frameworks, specifically targeting the optimization of resume content processing. You will also assist in developing models that can provide insightful summaries and predictions regarding future job applicants, aiding in our recruitment processes.

Key Responsibilities:

  • Collaborate with AI experts to understand and contribute to the development pipeline of language models.
  • Train and fine-tune open-source AI models using large datasets, particularly resume content.
  • Evaluate model performance and apply iterative improvements.
  • Develop and implement algorithms capable of generating summaries and predictive analyses of job applicants.
  • Document and report findings, insights, and methodologies throughout the development process.
  • Stay updated with the latest trends and advancements in AI and machine learning.

  • Legally authorized to work permanently in the U.S. and not require sponsorship for employment visa status now or in the future (e.g. H1-B status)
  • Actively enrolled in an accredited university through the duration of co-op assignment pursuing a Bachelor's, Master's or PhD degree
  • Ability to commit to 6-month duration - 40 hours per week (Monday - Friday) for the length of the assignment (June 17, 2024 - December 13, 2024)
  • Minimum cumulative 3.0 GPA
  • Currently enrolled in or recently graduated from a degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Strong foundation in AI principles, machine learning, and natural language processing (NLP).
  • Experience with Python programming and libraries such as TensorFlow, PyTorch, or similar.
  • Familiarity with open-source language models and frameworks.
  • Ability to handle large datasets and perform data cleaning and preprocessing.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Prior experience or projects involving natural language processing or machine learning.
  • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
  • Contributions to open-source projects or publications in relevant fields.