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Internship Llm Training Jobs (NOW HIRING)

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 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.

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.

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What are the most commonly searched types of Llm Training jobs?

The most popular types of Llm Training jobs are:

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Infographic showing various Internship Llm Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Software Engineer Intern (TikTok AI Search & Visual Search Infra Team) - 2027 Summer

TikTok

San Jose, CA • On-site

Temporary, Internship

Medical, Life

Posted 13 days ago


Key responsibilities

  • Design, build, and optimize large-scale infrastructure for TikTok AI Search & Visual Search, supporting billions of online search requests and large-volume offline data processing.

  • Evolve TikTok's search agent platform, including multi-agent orchestration, ReAct and tool-calling workflows, RAG indexing & serving engine, and context/memory management.

  • Deploy and optimize LLM/VLM post-training and inference, including GPU inference acceleration, SFT/RL efficiency, kernel/CUDA optimizations, and offline throughput improvement.


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

105th of 247 rated software companies


Job description

Responsibilities
About the team The TikTok AI&Visual Search Infrastructure team builds systems that power intelligent search experiences for users around the world. Our infrastructure serves billions of search requests every day and supports products including traditional search, AI-powered search results, in-app chatbots, and visual search. Our work spans both foundational search engine infrastructure and the rapidly evolving AI Search technology stack. We build large-scale indexing and retrieval systems, multimodal search infrastructure, multi-agent and RAG engines, and high-performance LLM/VLM training and serving platforms. As an engineer on the team, you will have the opportunity to work on challenging problems across AI Agents, RAG, LLM/VLM inference/training, distributed systems, search engines and multimodal machine learning. You will collaborate closely with engineers, researchers, and product teams to help shape the next generation of TikTok Search. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment. Responsibilities - Design, build, and optimize large-scale infrastructure for TikTok AI Search & Visual Search, supporting billions of online search requests and large-volume offline data processing. - Evolve TikTok's search agent platform, including multi-agent orchestration, ReAct and tool-calling workflows, RAG indexing & serving engine, and context/memory management. - Deploy and optimize LLM/VLM post-training and inference, including GPU inference acceleration, SFT/RL efficiency, kernel/CUDA optimizations, and offline throughput improvement. - Build and improve search engine components such as offline document processing pipelines, distributed indexing systems for billion/trillion documents, feature extraction services, and multi-stage retrieval/ranking services - Develop scalable data pipelines and distributed systems for processing billion- or trillion-scale text, image, and video datasets, covering offline computation, stream processing, task scheduling, storage, and data quality. - Explore emerging technologies in personalized search, generative search, multimodal understanding, reinforcement learning, model alignment, and evaluation. - Collaborate with machine learning, product, and other engineering teams to deliver accurate, responsive, and engaging AI-powered and visual search experiences.
Qualifications
Minimum Qualification(s): - Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline. - Strong programming skills and a solid foundation in data structures and basic algorithms. - Familiarity with Linux development environment and proficiency in at least one programming language such as C++, Java, Python, or Go - Strong analytical and problem-solving abilities, with an interest in solving complex engineering problems at scale. - Effective communication and collaboration skills, along with a strong sense of ownership and willingness to learn. Preferred Qualification(s): - Currently pursuing a Master's degree in Computer Science or a related technical discipline. - Internship, research, course project, or open-source experience in one or more of the following areas: - LLM/VLM serving, RAG, or AI agents - Distributed systems, storage systems, and large-scale data processing - Search engines, information retrieval, recommendation systems, or advertising systems - Understanding of search engine concepts such as query understanding, indexing, retrieval, ranking, and result aggregation - Familiarity with LLM serving frameworks such as vLLM, SGLang, or TensorRT-LLM, or agent development frameworks such as LangGraph, is a plus. - Experience analyzing or optimizing system performance, including latency, throughput, concurrency, memory utilization, or resource efficiency - Ability to learn new technologies quickly and apply them to practical engineering or research problems
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $45- $60.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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