ZipRecruiter

Log In

1

Internship Llm Training Jobs in Springfield, MA (NOW HIRING)

All JobsLlm Training JobsInternship Llm Training JobsInternship Llm Training Jobs in Springfield, MA

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.

What are popular job titles related to Internship Llm Training jobs in Springfield, MA?

For Internship Llm Training jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Internship Llm Training jobs in Springfield, MA look for?

The top searched job categories for Internship Llm Training jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Internship Llm Training jobs?

Cities near Springfield, MA with the most Internship Llm Training job openings:

Internship Llm Training jobs near you
Infographic showing various Internship Llm Training job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Springfield, MA • On-site

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 days ago

Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

LI-SS2LI-REMOTE

Apply