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Intern Llm Trainer Jobs (NOW HIRING)

SWBC

AI Intern

San Antonio, TX

$13.50 - $18/hr

... training workflows, evaluation, packaging, and deployment processes. * Support deployment and ... Experience with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt ...

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 ...

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

... LLM-based and agentic AI workflows using LangChain, LangGraph, and/or related design patterns ... Education and Training * Must be a current enrolled student or recent graduate in a computer ...

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Intern Llm Trainer information

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

To thrive as an Intern LLM Trainer, you should have a solid understanding of natural language processing, machine learning fundamentals, and strong programming skills, often supported by coursework or experience in computer science or related fields. Familiarity with tools like Python, PyTorch or TensorFlow, and version control systems such as Git is typically required, along with exposure to data labeling platforms. Attention to detail, strong analytical thinking, and effective communication are vital soft skills for collaborating on model improvement and troubleshooting. These competencies enable interns to contribute meaningfully to the development and refinement of language models, ensuring high-quality outcomes and impactful learning experiences.

What are some typical responsibilities and learning opportunities for an Intern LLM Trainer during their internship?

As an Intern LLM Trainer, you will typically assist in preparing and curating training datasets, annotating data, and running model evaluations under the guidance of senior machine learning engineers. You'll also gain hands-on experience in fine-tuning large language models (LLMs) and analyzing their performance. This role offers the opportunity to learn best practices in prompt engineering, collaborate with data scientists and software engineers, and gain exposure to the latest advancements in natural language processing. Regular feedback and mentorship are common, helping you develop both technical and teamwork skills.

Is there a shortage of ML engineers?

There is a high demand for machine learning engineers, including roles related to training large language models (LLMs), due to the rapid growth of AI applications. This demand often exceeds supply, leading to a talent shortage in the field, which creates opportunities for professionals with skills in deep learning, data science, and programming. Intern Llm Trainers with knowledge of machine learning frameworks and model evaluation are also sought after as organizations expand their AI teams.

What does an Intern LLM Trainer do?

An Intern LLM Trainer assists in training large language models (LLMs) by curating datasets, annotating data, and evaluating model outputs. They work closely with machine learning engineers and data scientists to improve the accuracy and performance of AI models. This role often involves researching new methods, running experiments, and providing feedback to enhance natural language understanding. Interns may also help document processes and support model deployment in real-world applications.

What is the salary of AI intern?

The salary of an AI intern varies depending on the company, location, and level of experience, but typically ranges from $15 to $30 per hour or $3,000 to $6,000 per month. Interns often work part-time or full-time and may receive stipends or academic credit instead of a traditional salary.

What is the difference between Intern Llm Trainer vs Data Annotator?

AspectIntern Llm TrainerData Annotator
Required CredentialsBasic understanding of machine learning, NLP, or AI; often pursuing related degreesHigh school diploma or equivalent; no specialized credentials typically needed
Work EnvironmentTech companies, AI startups, research labs; collaborative and project-basedData labeling firms, tech companies; focused on data preparation tasks
Employer & Industry UsageAI development, machine learning teams, research projectsData management, AI training datasets, quality assurance

Intern Llm Trainers focus on training language models through supervised learning and require some technical knowledge, while Data Annotators primarily label data to prepare datasets. Both roles are essential in AI development but differ in technical complexity and responsibilities.

What is the salary of Turing LLM trainer?

The salary of an LLM trainer at Turing varies depending on experience, location, and project scope, but typically ranges from $70,000 to $150,000 annually. Compensation may include benefits such as health insurance, paid time off, and opportunities for skill development in AI and machine learning tools. Exact figures can differ based on individual qualifications and contractual terms.

What is an LLM post training intern?

An LLM post training intern is a role focused on assisting in the fine-tuning and evaluation of large language models (LLMs) after their initial training. The internship typically involves tasks such as data annotation, model testing, and implementing improvements under the supervision of experienced AI engineers or researchers. It provides practical experience in machine learning workflows and may require knowledge of programming languages like Python and familiarity with AI frameworks.
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Intern Llm Trainer jobs near you
Research Scientist Intern- (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Start(PhD)

Research Scientist Intern- (Trust and Safety - CV/NLP/Multimodal LLM) - 2026 Start(PhD)

TikTok

Seattle, WA • On-site

$57/hr

Internship

Medical, Life

Posted 20 days ago

TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

114th of 188 rated software companies

Job description

Responsibilities
The Trust and Safety algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously. PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities 1. Develop computer vision model or multimodality model to recognize violation content in TikTok 2. Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc) 3. Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc 4. Continuously optimize the training framework to better adapt to the training of large models.
Qualifications
Minimum Qualifications: 1. PhD candidate in computer science or a related technical discipline 2. Related Research Experience at least one of the following areas: computer vision, multimodality, LLM 3. Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow) 4. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills Preferred Qualifications: 1. Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $57- $57.
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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