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Intern Llm Engineer Intern Jobs in Springfield, MO

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

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Intern Llm Engineer Intern information

What does an LLM Engineer Intern do?

An LLM (Large Language Model) Engineer Intern assists in developing, fine-tuning, and evaluating artificial intelligence models focused on natural language processing. Their responsibilities typically include data preprocessing, model training, conducting experiments, and analyzing model outputs. Interns may also help improve model performance, collaborate with research scientists, and contribute to building tools that make AI models more efficient and user-friendly. This role is ideal for those interested in machine learning, software engineering, and AI research.

What are some typical projects or tasks an LLM Engineer Intern might work on during their internship?

As an LLM Engineer Intern, you can expect to work on a range of tasks such as fine-tuning large language models, developing data pipelines for training or evaluation, and creating tools to analyze model outputs. Interns often assist with dataset curation, running experiments to improve model performance, and collaborating with senior engineers and researchers to solve real-world NLP problems. The work environment is usually collaborative, involving regular meetings and code reviews, providing valuable mentorship and hands-on experience with state-of-the-art AI technologies.

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

To thrive as an LLM Engineer Intern, you need a solid background in computer science, programming (especially Python), and understanding of machine learning concepts, often demonstrated through coursework or relevant projects. Familiarity with frameworks like PyTorch or TensorFlow, version control systems like Git, and experience with large language models such as GPT are highly valuable. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with cross-functional teams will help you stand out. These skills ensure you can contribute meaningfully to model development, troubleshoot issues efficiently, and adapt quickly in a rapidly evolving AI field.

What is the difference between Intern Llm Engineer Intern vs Data Science Intern?

AspectIntern Llm Engineer InternData Science Intern
Required CredentialsRelevant computer science or AI coursework, basic understanding of machine learning and NLPStatistics, mathematics, or data analysis coursework, programming skills
Work EnvironmentAI research labs, tech companies focusing on NLP and language modelsData analysis teams, tech companies, research institutions
Employer & Industry UsageAI and machine learning companies, tech giants developing language modelsTech firms, finance, healthcare, and research sectors

Intern Llm Engineer Interns focus on developing and optimizing large language models, requiring knowledge of NLP and AI frameworks. Data Science Interns analyze data, build models, and generate insights. While both roles involve programming and data skills, the Intern Llm Engineer Intern role emphasizes AI model development, whereas Data Science Interns focus on data analysis and interpretation.

What job categories do people searching Intern Llm Engineer Intern jobs in Springfield, MO look for?

The top searched job categories for Intern Llm Engineer Intern jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Intern Llm Engineer Intern jobs?

Cities near Springfield, MO with the most Intern Llm Engineer Intern job openings:

Spring 2027 Intern - Customer Success

Workiva

Springfield, MO • On-site, Remote

$21/hr

Full-time

Retirement

Posted 2 days ago

New


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

The Customer Success Intern supports the Customer Success team by providing excellent service, document setup, and collaboration. You will create, implement, and tag customer documents to meet their document setup needs, ensuring accuracy before filing deadlines.

What You'll Do

  • Create and implement customer documents using industry-leading software
  • Collaborate with internal, cross-functional teams including Product Management, Sales, Marketing, Engineering, and Finance
  • Apply XBRL tagging information to financial statements and statement footnotes
  • Tie-out XBRL tagging information within financial statements and statement footnotes to ensure accuracy prior to filing deadline
  • Provide exceptional customer service to internal and external customers

What You'll Need

Minimum Qualifications

  • Currently enrolled in a degree-seeking program, preferably in Business, Accounting, or a related program

Preferred Qualifications

  • Strong communication and leadership skills demonstrated through leadership positions in community, school, or other programs
  • Professional, outgoing, energetic personality with excellent interpersonal skills
  • Ability to work independently and take initiative
  • Attention to detail and follow-through are required
  • Technically savvy and demonstrate a high level of competency using Excel, Word, Google Docs, etc
  • Experience using Excel, Word, Google Docs, and similar word processing programs

Travel Requirements & Working Conditions

  • Reliable internet access for any period of time working remotely, not in a Workiva office
  • Minimal travel

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October Offers: Mid to late October

2027 Start Dates:

Our positions have opportunities that start in the Spring or Summer. Please see our start dates below and let us know your availability in your application. Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)

How You’ll Be Rewarded

Salary range in the US: $21.00 - $21.00 401(k) participation and match Paid sick leave A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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