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Part Time Generative Ai Engineer Jobs (NOW HIRING)

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... This role offers hands-on experience building enterprise-grade Generative AI solutions across ...

Stantec

Generative AI Developer

Austin, TX · On-site

$104.80K - $152K/yr

... GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104.80K - $152K/yr

... GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Generative AI Developer

Denver, CO · On-site

$104.80K - $152K/yr

... GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript)

Booz Allen Hamilton, Inc.

AI/ML Engineer

Mclean, VA · On-site

$55.20K - $126K/yr

Experience working with LLMs, generative AI systems, or agentic frameworks * Knowledge of AI ... 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

Arlington, VA · On-site

$99K - $225K/yr

... generative AI, large language models (LLMs), and autonomous workflows. This role combines deep ... 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

$77.60K - $176K/yr

... generative AI, large language models (LLMs), and autonomous workflows. This role combines deep ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Engineer

Bethesda, MD · On-site

$77.60K - $176K/yr

Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Engineer

El Segundo, CA · On-site

$77.60K - $176K/yr

Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph ... 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 Generative Ai Engineer information

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$115.9K

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

As of Jun 1, 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 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.

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.
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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 May 2026, with employment types broken down into 90% Full Time, and 10% Temporary. Highlights an 80% Physical, 10% Hybrid, and 10% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Generative AI Engineer (Instructor)

Sizanid Staffing

New York, NY

Part-time

Posted 13 days ago

Job description

Position: Generative AI Engineer (Instructor)

About Our Client:

Our client, a forward-thinking technology organization, is seeking an experienced Generative AI Engineer to join their team as an Instructor. This role involves not only developing innovative generative AI models and solutions but also training and mentoring teams or clients on the implementation and best practices of generative AI technologies.

Key Responsibilities:
  • Design, develop, and implement generative AI models and applications using state-of-the-art techniques.
  • Deliver training sessions, workshops, and tutorials on generative AI concepts, tools, and best practices to engineers, data scientists, and other stakeholders.
  • Create comprehensive instructional materials, including manuals, slide decks, and hands-on exercises.
  • Stay current with latest research and advancements in generative AI, NLP, and related technologies.
  • Collaborate with cross-functional teams to integrate generative AI solutions into product pipelines.
  • Provide technical guidance and support to teams adopting generative AI technology.
  • Evaluate and optimize existing AI models for performance, scalability, and robustness.
  • Assist in curriculum development for internal training programs related to AI and machine learning.

Requirements

Qualifications & Skills:

  • Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
  • Bachelors with more 6-8 years experience
  • Proven experience in developing generative AI models using frameworks such as TensorFlow, PyTorch, or similar.
  • Strong knowledge of NLP techniques, transformer architectures (e.g., GPT, BERT), and generative modeling.
  • Experience in instructional design and delivering technical training or workshops.
  • Proficiency in programming languages like Python and relevant AI/ML libraries.
  • Excellent communication and presentation skills, with ability to convey complex technical concepts to diverse audiences.
  • Familiarity with cloud AI platforms (AWS SageMaker, Google AI Platform, Azure ML) is a plus.

Preferred Qualifications:

  • Experience with prompt engineering and fine-tuning large language models.
  • Background in developing AI products or solutions in a commercial environment.
  • Strong teamwork and mentoring abilities.
  • Active contributor to AI research or open-source projects.

Benefits

Part time. Pay depends on experience.

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