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Intern Llm Researcher Jobs (NOW HIRING)

The intern will explore applications of Agentic and Generative AI in healthcare, supporting ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

About Job PhD Research Intern - Speech AI Centific AI Research Full Time 40 hours per week Role ... Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM ...

About Job PhD Research Intern - Speech AI Centific AI Research Full Time 40 hours per week Role ... Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM ...

About Job PhD Research Intern - Speech AI Centific AI Research Full Time 40 hours per week Role ... Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM ...

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Intern Llm Researcher information

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How much do intern llm researcher jobs pay per hour?

As of Aug 16, 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 is an intern LLM researcher?

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:

Infographic showing various Intern Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 22% Internship, 1% As Needed, 49% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $38,082 per year, or $18.3 per hour.

Research Intern, Agent RL Training

NewsBreak

Mountain View, CA

$35 - $50/hr

Full-time, Internship

Re-posted 21 days ago


Job description

About the Role

We are looking for a Research Intern to join our Agent RL Training team. You will be paired with a full-time employee as your mentor, working together to explore, from zero to one, how to apply large language models to NewsBreak's core business, including content understanding, recommendation, agentic web browsing, and autonomous multi-step task completion.

This is a hands-on research role. You are expected to independently drive experiments, propose novel ideas, and iterate quickly. We value self-starters with deep intellectual curiosity and the drive to push boundaries in LLM post-training and agent capabilities.

Location: Onsite in Mountain View, CA office

What You'll Work On
  • Collaborate with your full-time mentor to identify high-impact research directions for applying LLMs to NewsBreak's products
  • Independently run end-to-end SFT experiments on LLM-based agents, and assist with RL-related exploration such as reward design and training iteration
  • Curate and build high-quality training datasets: instruction-following, preference pairs, agent trajectories, and synthetic data
  • Contribute to public publications; we encourage and support top-venue submissions during your internship
What We're Looking ForRequirements
  • Highly motivated and committed: willing to put in extra hours when needed to push projects across the finish line
  • Genuine passion for research: you read papers for fun, tinker with models on weekends, and care deeply about advancing the field
  • Independently capable of end-to-end model SFT: with basic understanding of RL-based post-training methods (RLHF, DPO, PPO, GRPO, etc.)
  • Excellent taste in model behavior: able to reason about what "good" looks like across user-facing domains and articulate why
  • Strong Python and PyTorch skills
Preferred Qualifications
  • Publication at a top-tier venue (NeurIPS, ICML, ICLR, ACL, EMNLP, or equivalent)
  • Experience with multi-node distributed training (FSDP, DeepSpeed, Megatron-LM)
  • Proficiency in writing custom GPU kernels with Triton or CUDA
  • Experience building synthetic data pipelines for agent training
  • Familiarity with open-source RL frameworks: TRL, OpenRLHF, veRL/vLLM

Hourly Pay:  $35- $50Â