ZipRecruiter

Log In

2

Part Time Large Language Model Llm Jobs (NOW HIRING)

Implicit

AI Engineer (US-Based / Part-Time)

Strong experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG ... Experience evaluating and benchmarking LLM performance. What We Offer * Competitive compensation.

Pika

Research Intern (BS/MS/PhD)

Palo Alto, CA · On-site

Familiarity with multimodal large language models (MLLMs) is valued as a bonus. This internship is ... Flexible part-time and full-time internship terms are available. What You'll Do * Work directly on ...

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 ...

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 Jul 15, 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 July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.
Instructor, AGS, Simplilearn (Part time)

Instructor, AGS, Simplilearn (Part time)

Fullstack Academy

Remote

$60/hr

Part-time

Posted 28 days ago

Job description

About: Simplilearn
Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Full stack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally
Position Overview
The Part-Time Instructor for Artificial Intelligence and Machine Learning (AIML) plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.
Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment.
Classes are delivered 100% online in a synchronous format.
Job Summary
We are seeking experienced AGS- AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.
Key Responsibilities
  • Deliver live, instructor-led online classes
  • Conduct hands-on demos, guided practices, and projects
  • Explain concepts using real-world use cases
  • Address learner queries and ensure engagement
Required Skills & Expertise
Generative AI & Foundation Models
  • Generative AI model types and applications
  • VAEs and GANs (architecture, use cases, limitations)
  • Transformer-based models and attention mechanisms
  • Self-attention and multi-head attention
Language Models & LLMs
  • Language models fundamentals and applications
  • Large Language Models (architecture, training, operations, types)
Retrieval-Augmented Generation (RAG)
  • RAG concepts, components, retrievers, and workflows
  • Real-world applications of RAG
LangChain
  • LangChain architecture and core components
  • Building applications using LangChain
  • Prompt, memory, chains, and model integration
  • Text generation pipelines with Hugging Face models
Prompt Engineering
  • Prompt fundamentals and optimization
  • Zero-shot, few-shot, CoT, Self-Consistency, ToT prompting
  • Prompt templates and LangChain prompts
  • Prompt engineering applications (data & synthetic data generation)
Qualifications
  • 8+ years of experience in Agentic Ai / Generative AI / NLP / LLMs
  • Bachelor's degree in any field AND a minimum of 5+ years of professional experience in Artificial Intelligence or Machine Learning,
  • Strong proficiency in Python, LLM frameworks, and LangChain
  • Prior online or classroom training experience

Requirements
Work Schedule
Part-Time instructors typically work 8-10 hours per week depending on cohort schedules.
Current AIML cohorts meet during evening hours:
  • Weekends- Saturday and Sunday
  • Sessions typically run 10:00 AM to 2 PM EST

Benefits
Compensation
The anticipated pay range for this position is $60-per hour, depending on qualifications and experience.
This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.
Equal Employment Opportunity
We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

Apply