2

Part Time Llm Engineer Jobs (NOW HIRING)

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 ...

Senior Analytics Engineer

New York, NY · On-site

$130 - $185K/hr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Experience using LLM tools such as Claude Code, Cursor, or OpenAI Codex * Strong cross-functional ...

Software Engineer, Lead

Mclean, VA · On-site

$112K - $257K/yr

Experience with LLM, Agentic AI, RAG, or MCP implementation * Ability to obtain a Secret clearance ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

next page

Showing results 1-20

Part Time Llm Engineer information

See salary details

$37

$58

$85

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

As of Jun 9, 2026, the average hourly pay for part time llm engineer in the United States is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $71.15 per hour, depending on experience, location, and employer.

What are some common challenges faced by Part Time LLM Engineers, and how can they effectively manage their workload?

Part Time LLM Engineers often balance multiple projects or commitments, which can make time management and task prioritization challenging. They may also face difficulties staying up-to-date with rapidly evolving large language model technologies while working fewer hours. Effective strategies include setting clear boundaries for work hours, proactively communicating availability and progress with the team, and leveraging project management tools to track tasks. Staying engaged with professional communities and regularly reviewing documentation can also help part time engineers stay current and connected.

What is the difference between Part Time Llm Engineer vs Part Time Legal Data Analyst?

AspectPart Time Llm EngineerPart Time Legal Data Analyst
Required CredentialsEngineering degree, LLM preferred, technical certificationsLegal degree, certifications in data analysis or legal tech
Work EnvironmentTech firms, legal tech companies, remote or on-siteLaw firms, legal departments, remote or on-site
Industry UsageLegal technology, AI development, software engineeringLegal research, case analysis, data management

Part Time Llm Engineers focus on developing legal technology solutions, combining engineering skills with legal knowledge. In contrast, Part Time Legal Data Analysts interpret legal data to support case strategies. Both roles often work in legal tech environments but differ in technical versus analytical focus.

What is a part-time LLM engineer?

A part-time LLM (Large Language Model) engineer is a professional who works with advanced AI language models, such as those developed by OpenAI or Google, on a reduced or flexible schedule rather than full-time. Their responsibilities typically include developing, fine-tuning, and integrating LLMs into various applications, ensuring the models perform accurately and efficiently. Part-time LLM engineers may contribute to projects remotely, collaborate with teams on specific tasks, or support ongoing development needs without the commitment of standard full-time hours. This role is ideal for those seeking work-life balance, specialized project work, or additional income.

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

To thrive as a Part Time LLM Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as PyTorch or TensorFlow, and version control systems like Git is crucial, along with experience using large language models (LLMs) and associated APIs. Excellent problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this role. These skills ensure you can efficiently develop, fine-tune, and deploy LLM solutions while collaborating remotely or asynchronously within a team.
More about Part Time Llm Engineer jobs
What cities are hiring for Part Time Llm Engineer jobs? Cities with the most Part Time Llm Engineer job openings:
What are the most commonly searched types of Llm Engineer jobs? The most popular types of Llm Engineer jobs are:
What states have the most Part Time Llm Engineer jobs? States with the most job openings for Part Time Llm Engineer jobs include:
Instructor, Agentic AI, Simplilearn (Part time)

Instructor, Agentic AI, Simplilearn (Part time)

Fullstack Academy

Remote

$60/hr

Part-time

Posted 18 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 Agentic 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)
Model I/O & Data Handling
  • Model I/O (prompts, LLMs, output parsers)
  • Document loaders (CSV, PDF, HTML, JSON, Markdown)
  • Text splitters and embeddings in GenAI
Qualifications
  • 8+ years of experience in Agentic Ai / Generative AI / NLP / LLMs
  • 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.