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Generative Ai Part Time Jobs in Tennessee (NOW HIRING)

Generative Ai Part Time information

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.
What are the most commonly searched types of Generative Ai jobs in Tennessee? The most popular types of Generative Ai jobs in Tennessee are:
Infographic showing various Generative Ai Part Time job openings in Tennessee as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Adjunct Instructor, Applied AI Engineering - Fisk University - Fall 2026 (In-Person, Master's Degree

CodePath

Nashville, TN • On-site

$75/hr

Full-time, Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

CodePath is the largest educator of college computer science students in the country. We've trained over 40,000 students from 1,000+ universities, and our partners include Amazon, Google, and other leading technology companies. We've spent nearly a decade training the next generation of technical talent, and we just launched a $150M initiative with Anthropic, building one of the most ambitious AI workforce programs in the world.
We're now expanding into new markets and scaling our team so we can move at the speed AI is transforming the workforce. People joining CodePath now will have the opportunity to help architect the next frontier of our work.
We believe technical skill is the fastest way to turn raw talent into real opportunity. We train the engineers the AI era runs on, building toward millions of learners, hundreds of millions in revenue, and billions in economic impact. If you want to own something and be part of a 0-to-1 journey at an organization moving at the speed of AI, this is the place to build it.
About the Role
Location: Fisk University, Nashville, TN, United States
Role-Type: Seasonal Part-Time, W2 Employee (up to 10 hours/week)
Duration: August 2026 - December 2026 (Training start and the Fall Academic Term)
Reports To: Program Manager
Compensation: All new hires begin at $75/hour
Adjunct Instructors serve as the primary facilitators of CodePath's university courses, delivering engaging in-class instruction and representing CodePath to students nationwide. They prepare and lead interactive lessons using CodePath's curriculum, ensuring that each course meets program key performance indicators (KPIs) and continuously evolves based on student feedback. Instructors may also collaborate with co-instructors and teaching assistants to coordinate classroom activities and provide comprehensive support to students.
We are looking for instructors preferably with a Master's Degree or PhD in a field related to Computer Science to lead our Artificial Intelligence (AI) courses as we develop partnerships between CodePath and various universities across the country. The AI course covers theory, algorithms, and practical applications of generative models, including modern large language models (LLMs) and multimodal systems.
You will need to be free during the Fall Academic Term which runs between August through December, 2026. The full date range listed also includes time needed for pre-course instructor training. The course time(s) you could be assigned are set to take place on:
  • Mondays/Wednesdays 2:30pm-3:50pm CT

Key Activities
  • Lead in-person class sessions of approximately 25-75 college students, supporting students in achieving learning objectives
  • Review course material and plan for lessons to be highly engaging and industry relevant, with CodePath provided curriculum
  • Work with the Program Manager to oversee the course and work with other co- instructors as needed
  • Participate in regular syncs with instructors and teaching assistants leading up to the start of the course
  • Use course feedback to implement course improvements and propose curriculum changes that ensure KPIs are met
  • Participate in check-ins with instructors during the course, optionally shadowing some of the other instructor's sessions, to provide instructors feedback
  • Engage with University faculty and staff to ensure consistent alignment with our curriculum and their overall program
  • Manage teaching assistants to ensure students receive appropriate support

Qualifications
  • Master's Degree or PhD in Computer science (or closely related field)
  • 4+ years of full-time working experience in a software development/engineering role
  • Availability to lead lectures during the course times listed above
  • Available to meet with teaching assistants once per week outside of class
  • Strong working knowledge of generative AI, LLMs, and modern AI-assisted development workflows
  • Experience with open source development practices and large codebases
  • Proficiency with Python
  • Experience working through shifting priorities and learning, while maintaining organization and control
  • A passion for training the next generation of developers and some experience teaching in an educational, volunteer or work setting, for online learning environments
  • (Preferred) 1+ years of instructional experience with a demonstrated track record of educational excellence

Seasonal/Part-Time Employee Benefits
  • Wellness: Employee Assistance Program
  • Financial Security: 401(k)
  • Additional Perks: Exclusive marketplace savings

* This position is not eligible for medical, dental, or vision benefits or paid time-off
Pay range
$75-$75 USD