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

As of Jun 12, 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.

What job makes $10,000 a month without a degree?

A generative AI part-time role can potentially earn $10,000 a month through freelance projects, consulting, or building AI tools, especially if skilled in machine learning, programming, and AI platforms. Success depends on experience, portfolio, and demand for AI services, often requiring self-education and proficiency with tools like Python and TensorFlow.

How to make 2000 a week working from home?

Generating $2000 a week working as a Generative AI part-time involves offering specialized AI services such as content creation, chatbot development, or data annotation. Building a strong portfolio, developing skills in AI tools like GPT models, and finding clients through freelance platforms can help achieve this income level, often requiring consistent effort and skill development.

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 jobs pay 2000 a day?

High-paying jobs that can reach $2,000 a day often include specialized roles such as senior consultants, freelance software developers, or expert-level consultants in fields like finance, law, or technology. These positions typically require advanced skills, significant experience, or certifications, and may involve freelance or contract work with flexible schedules.

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.

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.

What is a $900,000 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 startup founder, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, innovation, and significant responsibility, and they may include equity or performance-based bonuses that contribute to the high compensation. Such salaries are rare and generally found in top tech companies or successful startups with substantial AI projects.
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Generative Ai Part Time jobs near you

Part-Time Lecturer - Applied Machine Intelligence (Miami)

Northeastern University

Miami, FL • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

About the Opportunity
The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Miami campus.
The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.
Responsibilities
Qualified candidates must be prepared to work with global student populations.
The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.
Instructional areas include, but are not limited to:
  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.
Qualifications
Minimum qualifications:
  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:
  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials
Applicants should submit materials including a cover letter and vitae.
Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.
Please direct questions to John Wilder at j.wilder@northeastern.edu.
Application will be reviewed until the position is filled.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate for this position is $1,569.00.

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