ZipRecruiter

Log In

2

Part Time Large Language Model Llm Jobs (NOW HIRING)

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

You will contribute to producing AI-first solutions using large language models, agent frameworks ... Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for ...

Booz Allen Hamilton, Inc.

AI and ML Engineer

Annapolis, MD · On-site

$99K - $225K/yr

Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The Pennsylvania State University

$25/hr

AND POSITION REQUIREMENTS The College of IST is seeking applicants for part-time job of Summer ... Familiarity with large language models and/or NLP concepts * Experience with qualitative or ...

next page

Showing results 1-20

All JobsLarge Language Model Llm JobsPart Time Large Language Model Llm Jobs

Part Time Large Language Model Llm information

See salary details

$14

$24

$38

How much do part time large language model llm jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for part time large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

What is a Part Time Large Language Model (LLM) role?

A Part Time Large Language Model (LLM) role typically involves working with large language models, such as GPT or similar AI systems, on a part-time basis. Responsibilities may include training, fine-tuning, evaluating, or deploying LLMs to solve specific problems or improve existing language technologies. These roles often require knowledge of natural language processing, machine learning, and programming. Part-time positions allow for flexible working hours and may be suitable for students, researchers, or professionals looking to contribute to AI projects without a full-time commitment.

What are some common challenges faced when working part-time with Large Language Models (LLMs)?

Part-time professionals working with Large Language Models often face challenges in keeping up with rapid advancements in AI technologies and adapting to evolving best practices. Balancing limited work hours with the need to stay updated on new research, tools, and model updates can be demanding. Additionally, coordinating with full-time team members and integrating contributions within tight timelines requires effective communication and collaboration skills. However, the flexible schedule can also provide opportunities for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive as a Part-Time Large Language Model (LLM) Engineer, and why are they important?

To thrive as a Part-Time Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree or equivalent experience. Proficiency with tools and frameworks like Python, TensorFlow, PyTorch, and experience working with LLM architectures such as GPT or BERT is typically required. Strong analytical thinking, communication skills, and the ability to collaborate effectively in a remote or distributed environment are valuable soft skills. These competencies are crucial for successfully developing, fine-tuning, and deploying advanced language models that meet organizational goals.

What is the difference between Part Time Large Language Model Llm vs Part Time Data Annotator?

AspectPart Time Large Language Model LlmPart Time Data Annotator
Required CredentialsKnowledge of NLP, AI, and machine learning conceptsAttention to detail, basic understanding of data labeling
Work EnvironmentRemote or office-based, involving AI development teamsRemote or on-site, working with datasets and labeling tools
Employer & Industry UsageTech companies, AI research labs, startupsData companies, AI firms, machine learning projects

While both roles support AI development, a Part Time Large Language Model Llm focuses on understanding and improving language models, requiring technical knowledge. A Part Time Data Annotator primarily labels data to train models, emphasizing accuracy and attention to detail. The roles differ in technical complexity but are both essential in AI workflows.

More about Part Time Large Language Model Llm jobs
What cities are hiring for Part Time Large Language Model Llm jobs? Cities with the most Part Time Large Language Model Llm job openings:
What are the most commonly searched types of Large Language Model Llm jobs? The most popular types of Large Language Model Llm jobs are:
What states have the most Part Time Large Language Model Llm jobs? States with the most job openings for Part Time Large Language Model Llm jobs include:
What job categories do people searching Part Time Large Language Model Llm jobs look for? The top searched job categories for Part Time Large Language Model Llm jobs are:
Part Time Large Language Model Llm jobs near you
Infographic showing various Part Time Large Language Model Llm job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 72% Full Time, and 27% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.
AI/ML Engineer (SE2)

AI/ML Engineer (SE2)

Epsilon Systems Solutions

Dayton, OH • On-site

Part-time

Posted 26 days ago

Job description

Epsilon C5I, a 100% employee-owned company founded in 1998, is seeking a Mid-level AI/ML Engineer (SE2) to join our team as we advance the State-of-the-Art in artificial intelligence for the intelligence community and autonomy applications. Our products are used to improve our nation's capability by improving decision making that currently relies on extensive human interaction within the US Air Force, Space Force, and Department of Defense.
If you have a passion for excellence in engineering and enjoy working on challenging projects in a fast-paced, team-oriented environment - read on!
What You'll Do:
  • Design and train neural networks for various applications
  • Analyze and manipulate multi-dimensional tabular, meta-, and geospatial imagery data
  • Interpret results and compare with truth data
  • Conduct post processing and data reduction
  • Write analysis reports and create briefings
  • Work independently and within a team of multi-disciplined engineers and provide guidance and support to colleagues

Required Qualification:
  • Bachelor's degree in computer science, computer engineering, or related field.
  • Applicants must have an active DoD Top Secret Security Clearance, with SCI eligibility.
  • Pursuant to the various government contractual requirements, all applicants must be U.S. Citizens.
  • 5 years of software engineering experience with a strong background in the following:
    • Collecting labeled data and Neural Network (NN) training
    • Programming: Python, PyTorch, TensorFlow, Keras
    • Satellite imagery, image processing, and geospatial-temporal image data
    • Geospatial vector graphics and Self-Organizing Map (SOM) data
    • Computer vision, Vector embedding, and similarity search
    • CI/CD, AWS, and ML Ops pipelines
    • Graph database concepts and PostgreSQL databases with vector store (pgVector), audit (pgAudit), edit (pgAdmin), and geographic (PostGIS) capability
    • Acquiring data and data wrangling for NN and transformer training and prompting
    • Automated data pulling from web-based Application Programming Interfaces (API)
    • Graph Neural Network (GNN) and Point Transformers (PT), training GNNs and PTs, and extracting embedding vectors and likelihoods
    • Vision Transformer frameworks, training transformers, and extracting embedding vectors and likelihoods
    • Large Language Models (LLM) and implementing templates to guide responses
    • Vision Language Models (VLM) and Visual Question Answering (VQA)
  • Strong problem solving and critical thinking skills.
  • Effective oral and written communication skills.

Why Work for Epsilon C5i?
  • We are a 100% employee-owned company.
  • We have more than 20 locations serving the Department of Defense, Department of Energy, Department of Homeland Security, non-profit and commercial customers.
  • The Dayton division has recently been named as one of only five prime awardees for the 10-year, $4.7 billion NOVASTAR contract supporting the National Air and Space Intelligence Center (NASIC), WPAFB, Ohio

ADA Notations:
  • Regular communication (hearing/speaking).
  • Noise conditions range from very quiet to very noisy.
  • Prolonged use of computer (typing/keyboarding).
  • Frequently required to sit for long periods of time, stand, and walk.
  • Ability to travel by car, air or other means of transportation, if required.

Epsilon Systems Solutions, Inc. is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

Apply