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Intern Llm Trainer Jobs (NOW HIRING)

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 ...

Centific

Speech Research Intern-2

$45/hr

Fluency in Python and PyTorch, with hands-on GPU training; familiarity with torchaudio or librosa ... LLM backbones with lightweight adapters; neural audio codecs and vocoders as needed. * FastAPI/gRPC ...

Centific

Speech Research Intern-2

$45/hr

Fluency in Python and PyTorch, with hands-on GPU training; familiarity with torchaudio or librosa ... LLM backbones with lightweight adapters; neural audio codecs and vocoders as needed. * FastAPI/gRPC ...

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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.

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 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.

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Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Meta

Menlo Park, CA

Internship

Re-posted 22 hours ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Monetization Generative AI - LLM (PhD) Responsibilities:
  • Perform research to advance the science and technology of intelligent machines
  • Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
  • Analyze and improve efficiency, scalability, and stability of various deployed systems
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience with Python, C++, C, Java or other related language
  • Experience with deep learning frameworks such as Pytorch or Tensorflow
  • Experience building systems based on machine learning, deep learning methods, or natural language processing

Preferred Qualifications:
  • Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
  • Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
  • Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
  • Experience working and communicating cross functionally in a team environment
  • Experience with training deep neural networks for key NLP tasks
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Intent to return to degree program after the completion of the internship/co-op

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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