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Part Time Llm Developer Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer

Arlington, VA · On-site

$86K - $198K/yr

Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Q2Impact

Solutions Systems Engineer

Washington, DC · Remote

... LLM scenario-generation tooling and rapid design templates, validated through the engineering team ... Part-time advisory baseline scaling with active pilots and engagements. - Compensation.

Q2Impact

Solutions Systems Engineer

Washington, DC · On-site +1

... LLM scenario-generation tooling and rapid design templates, validated through the engineering team ... Part-time advisory baseline scaling with active pilots and engagements. - Compensation.

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Annapolis, MD · On-site

$99K - $225K/yr

You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Llm Developer information

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How much do part time llm developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for part time llm developer in the United States is $19.71, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $19.95 per hour, depending on experience, location, and employer.

What are some common challenges faced by part-time LLM developers, and how can they be managed effectively?

Part-time LLM developers often face challenges such as managing time efficiently to keep up with evolving AI frameworks and balancing project deadlines with limited working hours. Communication with full-time team members can also be tricky, as project updates and collaboration often happen outside their scheduled hours. To succeed, it's important to set clear expectations with your team, leverage asynchronous communication tools, and prioritize tasks that align with your expertise. Staying up-to-date with industry trends through self-study can also help bridge any knowledge gaps.

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

To thrive as a Part Time LLM Developer, you need strong programming skills (especially Python), a solid understanding of machine learning concepts, and experience with large language models (LLMs) or natural language processing. Familiarity with tools like TensorFlow, PyTorch, Hugging Face Transformers, and knowledge of cloud platforms or APIs is typically required. Effective problem-solving, time management, and clear communication are vital soft skills for collaborating remotely and balancing part-time workloads. These competencies are crucial for efficiently developing, deploying, and refining LLM-based applications while meeting project goals within limited hours.

What is a Part Time LLM Developer?

A Part Time LLM Developer is a professional who works with large language models (LLMs), such as GPT or similar AI technologies, on a part-time basis. Their responsibilities can include designing, training, fine-tuning, and deploying LLMs for various applications like chatbots, content generation, or data analysis. Working part-time means they typically have flexible hours and may contribute to projects for multiple clients or companies. This role requires a strong foundation in programming, natural language processing, and machine learning concepts.
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Part Time Llm Developer jobs near you
Infographic showing various Part Time Llm Developer job openings in the United States as of June 2026, with employment types broken down into 20% As Needed, 20% Full Time, and 60% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $40,987 per year, or $19.7 per hour.

Intern, Software Development & Automation - Summer 2026

Murata America

San Diego, CA

Part-time, Temporary, Internship

Posted 4 days ago

Job description

pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor’s 30-year legacy of technology advancements and strong IP portfolio but with a new mission—to enhance Murata’s world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi’s product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi’s team explores new ways to make electronics for the connected world smaller, thinner, faster and better.

Job Summary

We are seeking a highly motivated Software Development Intern to join the Automation team for a summer internship, with the potential to extend into a part-time co-op role during the academic year based on business needs and student availability.

This role will contribute to the design, development, testing, and support of internal software tools used by engineers across lab and product development workflows. The intern will work closely with experienced engineers on desktop, web, and data-driven applications, with primary emphasis on C#/.NET development and secondary use of Python for scripting, tooling, and data workflows.

This role may also support software-hardware integration activities such as instrument communication, driver development, and engineering data collection. The ideal candidate brings a strong software foundation, exposure to modern frontend frameworks, curiosity about AI/LLM-assisted development workflows, and enough electrical engineering familiarity to work effectively in a test and measurement environment.

Roles & Responsibilities

This position has responsibility for:

  • Contribute to the design, development, testing, and maintenance of internal software applications and engineering tools used by technical teams.
  • Develop software features and utilities primarily using C#/.NET, with secondary use of Python for scripting, automation, and data processing tasks.
  • Support development of desktop applications using WPF and web-based tools and services using ASP.NET and modern frontend frameworks such as React or Angular.
  • Assist with implementation, debugging, and enhancement of internal APIs, user interfaces, and data workflows.
  • Participate in code reviews, testing, troubleshooting, and debugging activities with guidance from senior engineers.
  • Help analyze engineering and test data, generate reports, and support efforts to improve workflow efficiency and data visibility.
  • Work with engineers to support software interaction with lab hardware, instruments, and related systems, including exposure to instrument drivers and communication interfaces.
  • Collaborate with cross-functional team members to understand technical requirements, translate them into software solutions, and document work clearly.
  • Contribute to evaluation or use of AI/LLM-assisted workflows, tools, or application concepts where appropriate to improve engineering productivity.
  • Maintain technical documentation, implementation notes, and other supporting materials to enable knowledge sharing and long-term maintainability.

Minimum Qualifications (Experience and Skills)

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • Strong foundational programming skills with experience in C#/.NET or another object-oriented programming language.
  • Exposure to Python for scripting, automation, data analysis, or related technical work.
  • Exposure to desktop or web application development, including interest in technologies such as WPF, ASP.NET, and REST-based application patterns.
  • Exposure to modern frontend frameworks such as React or Angular.
  • Understanding of object-oriented programming principles, data structures, debugging techniques, and general software development best practices.
  • Familiarity with Git-based version control and collaborative software development workflows.
  • Understanding of AI/LLM-assisted workflows and evaluation, including interest in modern software tooling and developer productivity enhancements.
  • Solid understanding of basic circuit theory and a basic electrical engineering foundation sufficient to work in a hardware-adjacent engineering environment.
  • Familiarity with hands-on lab work, engineering data analysis, and technical problem solving.
  • Strong analytical thinking, attention to detail, and problem-solving skills.
  • Strong written and verbal communication skills and the ability to work effectively in a collaborative team environment.

Education Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.

 

Work Environment

This job operates in a professional office and engineering lab environment. During the summer internship period, this role is expected to work on-site a minimum of four days per week.

If extended into a co-op arrangement during the academic year, the schedule may be adjusted based on business needs and the student's class schedule. This role routinely uses standard office equipment and may involve limited interaction with lab instrumentation and engineering hardware.

 

Physical Demands

This role requires the ability to sit and/or stand for extended periods, use a computer and standard office equipment, and occasionally lift office products and supplies up to 20 pounds.


USD 25.63 - 48.60 per hour


Thank you for your interest in our temporary position. Please be advised that the selected candidate will be employed and receive all wages directly from a third-party staffing agency selected by pSemi 


pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver’s license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: http://patents.psemi.com

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