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Part Time Llm Engineer Intern Jobs (NOW HIRING)

Hearst

Software Engineer Intern

Tampa, FL · Hybrid

$20/hr

The Software Engineer Intern will support the design, development, and maintenance of scalable ... Familiarity with LLM-based APIs (e.g., Anthropic, Claude Code, OpenAI, AWS Bedrock, or similar ...

Keiser

Manufacturing Engineer Intern

Fresno, CA · On-site

$20/hr

Job Type Part-time Description At KEISER , we are changing the world of fitness. For over four ... We are currently looking for an entry-level Manufacturing Engineer Intern . Requirements PRINCIPAL ...

Arcadis

Water Engineer Intern

Middletown, CT · On-site

$24.97 - $37.45/hr

We are currently seeking an Water Engineer Intern to join our Water Business Line in our Middletown ... Arcadis offers benefits for part-time, as-needed positions. These benefits include EAP, 401K, and ...

Darkhive, Inc

Quality Engineer Intern

San Antonio, TX · On-site

$28/hr

The Quality Engineer Intern Role: We are looking for a highly motivated Quality Engineering Intern ... This role is a part-time (29 or less hours per week), on-site in San Antonio, non-exempt, non ...

Arcadis

Water Engineer Intern

Dallas, TX · On-site

$22.20 - $33.30/hr

As a Water Engineer Intern, you will have the opportunity to gain valuable hands-on experience in ... Arcadis offers benefits for part-time, as needed positions. These benefits include EAP, 401K, and ...

Aib International

Familiarity with prompt engineering or LLM-based workflows is a plus. What you'll work on * Assist ... Considering a full-time or part-time role. All qualified applicants will receive consideration for ...

Arcadis

Water Engineer Intern

Dallas, TX · Hybrid

$22.20 - $33.30/hr

As a Water Engineer Intern, you will have the opportunity to gain valuable hands-on experience in ... Arcadis offers benefits for part-time, as needed positions. These benefits include EAP, 401K, and ...

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Part Time Llm Engineer Intern information

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

To thrive as a Part Time LLM Engineer Intern, you typically need a solid foundation in computer science, programming (especially Python), and machine learning principles, often supported by current studies in a relevant degree program. Familiarity with frameworks such as PyTorch or TensorFlow, experience using large language models (LLMs), and knowledge of version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and a willingness to learn collaboratively help you excel in this role. These skills and qualities are crucial for contributing effectively to LLM development projects, ensuring high-quality results, and making the most of the internship experience.

What types of projects or tasks can a Part Time LLM Engineer Intern expect to work on, and how do these contribute to the team’s goals?

As a Part Time LLM Engineer Intern, you will typically assist with developing, fine-tuning, or evaluating large language models (LLMs) under the guidance of senior engineers. Interns often help preprocess datasets, implement model training pipelines, or run experiments to improve model performance. You might also contribute to code reviews and collaborate on documentation, ensuring reproducibility and clarity in research. These tasks are integral to the team’s mission of advancing language model capabilities, and your contributions help streamline workflows and accelerate project timelines.

What does a Part Time LLM Engineer Intern do?

A Part Time LLM Engineer Intern assists in developing, testing, and optimizing large language models (LLMs) such as GPT or BERT. Their responsibilities often include data preprocessing, writing code to fine-tune models, evaluating model performance, and helping integrate LLMs into various applications. As an intern, they work under the supervision of experienced engineers and researchers, gaining hands-on experience with state-of-the-art AI and machine learning technologies. This role is typically part-time, allowing students or early-career professionals to balance work with other commitments.

What is the difference between Part Time Llm Engineer Intern vs Part Time Software Engineer Intern?

AspectPart Time Llm Engineer InternPart Time Software Engineer Intern
Required CredentialsLegal or law-related coursework, LLM degree preferredComputer science or software engineering coursework, coding skills
Work EnvironmentLegal tech firms, law departments, research settingsTech companies, startups, software development teams
Industry UsageLegal industry, legal technologyTechnology, software development
Common Search IntentLegal tech internships, law-related engineering rolesSoftware development internships, coding roles

The Part Time Llm Engineer Intern typically focuses on legal technology projects, requiring legal coursework or an LLM degree, and works within legal or legal tech environments. In contrast, the Part Time Software Engineer Intern emphasizes coding and software development skills, working in tech companies or startups. Both roles involve technical work but differ mainly in industry focus and required credentials.

More about Part Time Llm Engineer Intern jobs
What cities are hiring for Part Time Llm Engineer Intern jobs? Cities with the most Part Time Llm Engineer Intern job openings:
What states have the most Part Time Llm Engineer Intern jobs? States with the most job openings for Part Time Llm Engineer Intern jobs include:
What job categories do people searching Part Time Llm Engineer Intern jobs look for? The top searched job categories for Part Time Llm Engineer Intern jobs are:
Part Time Llm Engineer Intern jobs near you
Infographic showing various Part Time Llm Engineer Intern job openings in the United States as of May 2026, with employment types broken down into 19% Full Time, 80% Part Time, and 1% Temporary. Highlights an 57% Physical, and 43% Remote job distribution.
Software Engineer Intern

Software Engineer Intern

Hearst

Tampa, FL • Hybrid

$20/hr

Part-time

Posted 3 days ago

Hearst rating

6.7

Company rating: 6.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

48th of 64 rated media

Job description

The Software Engineer Intern will support the design, development, and maintenance of scalable software solutions that enable enterprise data processing, system integrations, reporting capabilities, and emerging intelligent automation features. This role contributes to the implementation of ETL workflows, API-based integrations, file-based data exchanges, and backend services supporting business-critical applications. The intern may also assist in integrating AI-powered services into data workflows and APIs under the guidance of senior engineers.

In this role, the intern will gain hands-on experience working in a production environment and contributing to real-world integration solutions. This opportunity offers meaningful exposure to Java, Python, SQL, REST API development, AWS cloud technologies, and AI-assisted development practices while collaborating with experienced engineers in an Agile delivery environment.

Hybrid work-based in Tampa, this 10-week internship (June 1 - August 14, 2026) will work thirty (30) hours per week to provide practical experience with modern software engineering practices within a fast-paced, team-oriented setting.

Hourly rate: $20./hour.  

What You Will Gain

  • Hands-on experience with enterprise-scale ETL and data integration workflows
  • Exposure to REST API design, configuration, and documentation best practices
  • Practical experience with Java, Python, SQL, and AWS cloud services
  • Understanding of secure data exchange and production deployment processes
  • Exposure to integrating AI-powered APIs into enterprise data processing and system integration workflows
  • Experience working in an Agile, team-based development environment
  • Insight into delivering scalable, client-facing technical solutions

Key Responsibilities

  • Assist in the design, development, and maintenance of ETL pipelines and file-based data integration processes (imports/exports).
  • Support the configuration, testing, and documentation of RESTful APIs for internal and external system integrations.
  • Perform data mapping, transformation, and validation between source and target systems.
  • Contribute to API endpoint configuration, request/response handling, and schema validation.
  • Participate in debugging, testing, and troubleshooting integration and data workflow issues.
  • Write and optimize SQL queries to support data extraction, reporting, and validation activities.
  • Support reporting, data extracts, and data warehousing initiatives.
  • Leverage AI-assisted development tools responsibly to improve productivity while adhering to coding standards, documentation practices, and secure data handling procedures.
  • Collaborate with cross-functional engineering and product teams in an Agile development environment.

Education Required: 

  • Currently working toward a Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or other relevant technical discipline.

Qualifications Required:

  • Foundational programming knowledge in Java or Python.
  • Basic understanding of relational databases and SQL.
  • Familiarity with REST APIs and web service concepts.
  • Strong analytical and problem-solving skills.
  • Effective communication and collaboration abilities.
  • Ability to collaborate in our Tampa office on a hybrid schedule (Tuesday, Wednesday, Thursday).
Qualifications Preferred:
  • Basic exposure to ETL concepts or data transformation workflows.
  • Some experience writing SQL queries and working with relational databases (e.g., MySQL, Oracle)
  • Familiarity with JSON, XML, or similar structured data formats.
  • Coursework or project experience involving APIs, integrations, or cloud platforms.
  • Introductory exposure to artificial intelligence, machine learning, or generative AI concepts through coursework or projects.
  • Familiarity with LLM-based APIs (e.g., Anthropic, Claude Code, OpenAI, AWS Bedrock, or similar generative AI services) is a plus.
  • Introductory exposure to AWS services.

At MHK we help health plans and pharmacy benefit managers deliver optimal care management across every member's health journey. We do this through state-of-the-art technology that provides critical insights from member enrollment and maintenance through every stage of care and compliance. We believe that long-term partnerships are built on trust. Our team members are expected to build trusted advisory relationships-with MHK clients and one another-through responsive, transparent communication, while honoring commitments, and tying that trust to outcomes.

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