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Part Time Generative Ai Engineer Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AL/ML Engineer, Lead

Atlanta, GA · On-site

$98K - $129K/yr

Design and implement ML workflows, including Generative AI, AI agents, MCP-enabled systems, and RAG ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Mclean, VA · On-site

$112K - $257K/yr

Share Agentic AI Engineer The Opportunity: AI is moving fast and the most consequential work is ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Annapolis, MD · On-site

$99K - $225K/yr

We are looking for a highly skilled Agentic AI Engineer to join our team specializing in building ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsGenerative Ai Engineer JobsPart Time Generative Ai Engineer Jobs

Part Time Generative Ai Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do part time generative ai engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for part time generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a Part Time Generative AI Engineer?

A Part Time Generative AI Engineer is a professional who works on developing, implementing, or maintaining artificial intelligence models that can generate content such as text, images, or audio, but in a part-time capacity. Their work often involves building or fine-tuning machine learning models, collaborating with data scientists, and integrating AI solutions into products. Part-time roles usually offer flexible schedules, making them suitable for students, freelancers, or those seeking work-life balance. These engineers typically have skills in programming languages like Python, experience with machine learning frameworks, and a strong understanding of AI concepts.

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

A Part Time Generative AI Engineer needs strong programming skills (Python, PyTorch/TensorFlow), a background in machine learning, and a relevant degree in computer science or a related field. Experience with AI frameworks, cloud computing platforms (like AWS or GCP), and familiarity with model deployment tools are typically required. Creativity, problem-solving, and effective communication help individuals excel in this collaborative and rapidly evolving field. These abilities ensure the engineer can design, implement, and optimize generative AI models while efficiently managing part-time project commitments.

How do part-time Generative AI Engineers typically balance project responsibilities and collaboration with full-time team members?

Part-time Generative AI Engineers often work on focused tasks or specific project modules, which allows them to contribute meaningfully without being overwhelmed by the broader scope. They usually coordinate with full-time team members through regular check-ins, agile sprint meetings, or asynchronous communication tools to stay aligned on project goals and timelines. Clear documentation, well-defined deliverables, and proactive communication are key to ensuring smooth collaboration and integration of their work. This structure also provides flexibility while maintaining accountability and progress.
More about Part Time Generative Ai Engineer jobs
What cities are hiring for Part Time Generative Ai Engineer jobs? Cities with the most Part Time Generative Ai Engineer job openings:
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Part Time Generative Ai Engineer jobs near you
Infographic showing various Part Time Generative Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Instructor, AGS, Simplilearn (Part time)

Instructor, AGS, Simplilearn (Part time)

Fullstack Academy

Remote

$60/hr

Part-time

Posted 24 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.

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