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Generative Ai Part Time Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer

Mclean, VA · On-site

$55K - $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 ...

Pika

Research Intern (BS/MS/PhD)

Palo Alto, CA · On-site

Flexible internship: part-time or full-time roles available * Unique opportunity to make an immediate impact with Videogen and generative AI research * Mentorship and collaboration with innovative ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/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 ...

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Generative Ai Part Time information

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$15

$25

$37

How much do generative ai part time jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for generative ai part time in the United States is $25.07, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $27.16 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

To make $2000 a week working from home in a generative AI-related role, you can offer freelance services such as AI content generation, chatbot development, or model fine-tuning. Building a strong portfolio, developing skills in tools like Python and machine learning frameworks, and finding clients through freelance platforms can help achieve this income level, often requiring consistent work and specialized expertise.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and sometimes ownership of significant projects or patents. These roles usually involve leadership, strategic planning, and expertise in tools like deep learning frameworks and data analysis. Compensation at this level reflects the value of specialized knowledge and impact on business outcomes.

What is the difference between Generative Ai Part Time vs Data Scientist Part Time?

AspectGenerative Ai Part TimeData Scientist Part Time
Required CredentialsRelevant AI/ML certifications, programming skillsStatistics, data analysis, programming certifications
Work EnvironmentTech companies, startups, freelance projectsResearch labs, tech firms, consulting
Employer & Industry UsageAI development, content creation, automationData analysis, predictive modeling, business insights

Generative Ai Part Time roles focus on creating AI models that generate content, requiring skills in AI/ML and programming. Data Scientist Part Time roles involve analyzing data to extract insights, often requiring similar technical credentials. While both roles operate in tech environments, Generative Ai positions emphasize AI model development, whereas Data Scientist roles focus on data analysis and interpretation.

What is a Generative AI Part Time job?

A Generative AI Part Time job involves working with artificial intelligence models that are designed to create new content, such as text, images, or music, based on training data. These roles can include tasks such as developing, fine-tuning, or evaluating generative AI models, as well as integrating them into applications. Part-time positions offer flexibility in work hours and are suitable for students, freelancers, or professionals seeking additional experience in AI. Common responsibilities may include data preparation, model testing, and collaborating with other team members on AI-driven projects.

How to make money with AI part time?

Generative AI part-time roles often involve creating content, developing AI prompts, or providing AI-related services through freelance platforms. Skills in AI tools, programming, and understanding of machine learning can enhance earning potential, and flexible schedules make it suitable for part-time work.

Is Generative AI a good career?

Generative AI is a growing field with increasing demand for roles such as Generative AI specialists and developers. It requires skills in machine learning, programming, and data analysis, and offers opportunities in tech companies, research institutions, and startups. The field is expected to expand as AI applications become more widespread.

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

To thrive as a Generative AI Specialist (Part-Time), you typically need a background in computer science, machine learning, and experience with AI model development. Proficiency with tools like Python, TensorFlow, PyTorch, and familiarity with generative models such as GANs or LLMs, as well as relevant certifications, are highly valuable. Strong analytical thinking, creativity, and collaboration skills help individuals adapt to evolving project needs and work effectively with stakeholders. These capabilities are crucial for driving innovative AI solutions and ensuring project success within limited working hours.
More about Generative Ai Part Time jobs
What cities are hiring for Generative Ai Part Time jobs? Cities with the most Generative Ai Part Time job openings:
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What job categories do people searching Generative Ai Part Time jobs look for? The top searched job categories for Generative Ai Part Time jobs are:
Generative Ai Part Time jobs near you
Infographic showing various Generative Ai Part Time job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $52,154 per year, or $25.1 per hour.
Part Time Instructor - Fullstack AI

Part Time Instructor - Fullstack AI

Fullstack Academy

Remote

Part-time

Posted 28 days ago

Job description

About Us
Fullstack Academy is a leading tech training bootcamp in the United States. From coding and artificial intelligence to cybersecurity and data analytics, we offer immersive online programs designed to prepare students for careers in high-growth technology sectors.
Our programs focus on practical, career-oriented education that helps professionals transition into in-demand technology roles. We are passionate about transforming lives through education and empowering students to build successful careers in technology.
Simplilearn has collaborated with Fullstack 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 Fullstack AI 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
Key Responsibilities
Instruction & Student Engagement
  • Deliver assigned lessons aligned with curriculum learning objectives and session plans.
  • Facilitate engaging live online instruction using instructional best practices for adult learners.
  • Provide subject matter expertise in Fullstack AI
  • Connect course content to real-world industry applications and professional practices.
  • Encourage collaboration, critical thinking, and problem-solving within the classroom environment.
Student Support & Mentorship
  • Provide individualized student support during live sessions and scheduled office hours.
  • Maintain regular communication with students regarding progress, expectations, and milestones.
  • Respond to student and staff communications in a timely and professional manner.
  • Provide clear, constructive, and timely feedback on assignments and assessments.
Performance Monitoring
  • Evaluate student progress based on course deliverables and established grading rubrics.
  • Maintain accurate documentation of student performance and engagement.
  • Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.
  • Support performance improvement plans when necessary.
Collaboration & Professional Conduct
  • Adhere to institutional policies and instructional team standards.
  • Foster an inclusive, respectful, and professional learning environment.
  • Serve as a role model and mentor for students.
  • Collaborate with instructional staff and program teams to improve the student learning experience.
  • Represent the organization professionally when interacting with students, staff, and external stakeholders.

Required Qualifications
Education and Experience
You are a great candidate for this role if you have:
  • 7+ years of experience in full stack web development, with strong hands-on expertise in frontend and backend technologies.
  • Proficiency in JavaScript, React, Node.js, Express.js, MongoDB, and RESTful APIs; knowledge of Python frameworks (Django, Flask) is a plus.
  • Solid understanding of frontend tools and workflows, including HTML5, CSS3, modern JavaScript frameworks, and responsive design principles.
  • Experience with cloud platforms (AWS, Azure, or GCP) for application deployment, containerization, and CI/CD integration.
  • Exposure to Generative AI technologies, including OpenAI APIs, LangChain, Hugging Face Transformers, or Stable Diffusion, and experience integrating AI models into full stack solutions.
  • Familiarity with prompt engineering, LLM-based application design, and AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT).
  • Strong understanding of software development lifecycle (SDLC), version control (Git), and agile development methodologies.
  • (Preferred) Prior teaching, mentoring, or technical training experience in academic or professional settings.
  • (Preferred) A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Excellent communication and presentation skills, with the ability to make complex technical topics engaging and accessible.
  • A passion for teaching, mentoring, and staying current with emerging trends in AI-driven development and web technologies.
  • Professionalism, integrity, and empathy in all interactions with learners and team members.

Knowledge, Skills, and Abilities
  • Conduct live online classes, mentor learners through hands-on coding projects, capstone assignments, and Generative AI integrations, and offer professional guidance based on your real-world experience.
  • You'll help bridge the gap between traditional full stack development and the rapidly evolving AI-driven landscape, empowering learners to build intelligent, scalable, and production-ready web applications.
  • You will engage learners with real-world case studies, code walkthroughs, and best practices in modern development stacks from frontend (React, Angular, or similar) to backend (Node.js, Express.js, or Django)
  • Demonstrate how to leverage AI tools such as OpenAI APIs, LangChain, and other generative frameworks to streamline development and enhance user experiences.

Work Schedule
Part-Time instructors typically work 10-15 hours per week depending on cohort schedules.
Current AIML cohorts meet during evening hours:
  • Monday, Wednesday, and Thursday
  • Sessions typically run 7:00 PM - 10:00 PM CST
  • Flexibility for evening availability is required.

Compensation
The anticipated pay range for this position is $50 - $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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