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Internship Llm Training Jobs (NOW HIRING)

Applied Scientist (ML)

Mountain View, CA · On-site

$190K - $275K/yr

LLM post-training and reinforcement learning * AI agents for knowledge workflows * ML benchmarks ... ML interns and publish your research findings with the community Experience Required * PhD or ...

The primary focus of this internship is to conduct novel research that advances these fields, with ... Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents ...

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Internship Llm Training information

What types of projects and tasks can I expect to work on during an Internship in LLM Training?

As an intern focusing on LLM (Large Language Model) training, you will likely be involved in tasks such as collecting, cleaning, and annotating datasets, running model training experiments, evaluating model outputs, and assisting in fine-tuning models for specific use cases. You may also collaborate with machine learning engineers and researchers to troubleshoot training issues and document results. The work environment is typically collaborative, with opportunities to learn from experienced professionals and contribute to real-world AI projects.

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

To succeed as an LLM Training Intern, you typically need a background in computer science, machine learning, or a related field, along with strong programming skills in Python. Familiarity with machine learning frameworks such as PyTorch or TensorFlow and experience using data annotation or model evaluation tools are important. Analytical thinking, attention to detail, and effective communication help interns collaborate with teams and troubleshoot model behavior. These skills are crucial for contributing to the development and refinement of large language models in a fast-evolving AI landscape.

What is the difference between Internship Llm Training vs Legal Assistant?

AspectInternship Llm TrainingLegal Assistant
Required CredentialsLLM degree or in progressBachelor's degree in law or related field
Work EnvironmentEducational, training-focused, often temporaryOffice setting, ongoing support role
Employer & Industry UsageLaw firms, legal departments, academic institutionsLaw firms, corporate legal departments, government agencies
Common Search & ComparisonYesNo

Internship Llm Training is primarily a learning and skill-building opportunity for law graduates or students pursuing an LL.M., often temporary and educational. Legal Assistants are employed roles supporting legal work with ongoing responsibilities. The main difference lies in the focus: training and education versus practical support work.

What is an Internship LLM Training?

An Internship LLM Training is a practical learning experience designed for students or recent graduates pursuing or holding a Master of Laws (LLM) degree. It provides hands-on training in legal research, drafting, case analysis, and other legal skills within a real-world setting, such as a law firm, corporate legal department, or non-profit organization. This internship helps participants gain valuable industry exposure, enhance their legal expertise, and build professional networks, which can be beneficial for their future legal careers. The training may also involve participating in workshops, seminars, or mentorship programs. Overall, it is a crucial step for LLM students to bridge the gap between academic studies and professional legal practice.
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Infographic showing various Internship Llm Training job openings in the United States as of June 2026, with employment types broken down into 15% As Needed, 23% Full Time, 23% Part Time, and 39% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Research Scientist in Large Language Model (LLM) - Seed - Graduates - 2027 Start (BS/MS)

ByteDance

San Jose, CA • On-site

Full-time

Posted 13 days ago


Job description

Job Summary:
ByteDance is dedicated to advancing the next generation of large language models (LLMs) through their Seed LLM team. This role involves exploring large-scale models, optimizing systems, and conducting in-depth research on future use cases.
Responsibilities:
• Explore large-scale models and optimize systems.
• Data construction, instruction tuning, preference alignment, and model optimization.
• Improving relevant model capabilities, such as reasoning, code, math etc.
• In-depth research and exploration of future use cases.
Qualifications:
Required:
• Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027.
• Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C++ or Python, etc.
• Demonstrated interest or project experience in LLM-related areas such as training, evaluation, or applications.
Preferred:
• Experience with machine learning, deep learning, or large-scale models through internships is preferred.
• Strong problem analysis and problem-solving skills and good communication and collaboration skills, with the ability to learn quickly and work effectively in a team.
Company:
ByteDance is a technology company that develops content creation platforms and services. Founded in 2012, the company is headquartered in Beijing, CHN, with a team of 10001+ employees. The company is currently Late Stage.