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Generative Ai Instructor Jobs in Texas (NOW HIRING)

... Generative AI concepts, including LLM APIs, prompt engineering, Retrieval-Augmented Generation (RAG), and agentic AI workflows Additional Requirements * Ability to deliver engaging instructor-led ...

Technical Trainer

Frisco, TX · On-site +1

$30.50 - $40.50/hr

Maintain instructor and participant guides for accuracy, clarity, and accessibility. * Analyze ... Use Thomson Reuters generative AI tools to accelerate work, improve deliverables, and adopt ...

Technical Trainer

Frisco, TX · On-site

$30.50 - $40.50/hr

Maintain instructor and participant guides for accuracy, clarity, and accessibility. * Analyze ... Use Thomson Reuters generative AI tools to accelerate work, improve deliverables, and adopt ...

Technical Trainer

Frisco, TX · On-site

$30.50 - $40.50/hr

Maintain instructor and participant guides for accuracy, clarity, and accessibility. * Analyze ... Use Thomson Reuters generative AI tools to accelerate work, improve deliverables, and adopt ...

Technical Trainer

Frisco, TX

$30.50 - $40.50/hr

Maintain instructor and participant guides for accuracy, clarity, and accessibility. * Analyze ... Use Thomson Reuters generative AI tools to accelerate work, improve deliverables, and adopt ...

Coordinate classroom, virtual, and instructor logistics from end to end, ensuring smooth delivery ... Prefer familiarity with generative AI tools and emerging learning technologies used for content ...

This team also leads IS&T's enterprise generative AI strategy and manages compliance across systems ... Offer and manage instructor-led business writing workshops to improve writing skills across the ...

Generative Ai Instructor information

What does a generative AI instructor do?

A Generative AI Instructor is responsible for teaching individuals or groups about generative artificial intelligence technologies, such as machine learning models that create new content (text, images, audio, etc.). They design curriculum, lead workshops, and provide hands-on demonstrations to help students understand how to build, fine-tune, and deploy generative AI models. Additionally, they stay updated on the latest advancements in AI and help learners understand ethical considerations and real-world applications of generative AI.

What are some common challenges generative AI instructors face when teaching complex concepts to diverse learners?

Generative AI Instructors often encounter the challenge of breaking down advanced machine learning and artificial intelligence concepts into digestible lessons for students with varying backgrounds. Balancing the technical depth required for industry relevance with accessibility for beginners requires flexible teaching strategies and strong communication skills. Additionally, keeping course materials up-to-date with the rapidly evolving AI landscape is essential, which means instructors must continually learn and adapt their curriculum. Collaboration with peers and industry professionals is common to ensure content accuracy and relevance.

What are the key skills and qualifications needed to thrive as a generative AI instructor, and why are they important?

To thrive as a Generative AI Instructor, you need a deep understanding of machine learning, natural language processing, and AI concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow, PyTorch, and platforms such as Jupyter Notebook is typically required, along with experience using generative AI frameworks and models. Strong communication, adaptability, and the ability to simplify complex topics for diverse learners are important soft skills in this role. These skills ensure effective teaching, empower students to grasp advanced AI concepts, and keep coursework relevant in a fast-evolving field.

What is the difference between Generative Ai Instructor vs Data Scientist?

AspectGenerative Ai InstructorData Scientist
Required CredentialsAI/ML certifications, teaching experienceStatistics, programming, data analysis degrees
Work EnvironmentEducational settings, online platformsResearch labs, tech companies, finance
Employer & Industry UsageEdTech, training programsTech firms, finance, healthcare

While both roles involve AI expertise, a Generative Ai Instructor primarily focuses on teaching and training others in generative AI techniques, often within educational or training environments. In contrast, a Data Scientist analyzes data to derive insights and build models across various industries. Both roles require strong technical skills, but their core responsibilities and work settings differ significantly.

What cities in Texas are hiring for Generative Ai Instructor jobs? Cities in Texas with the most Generative Ai Instructor job openings:

Technical Curriculum Developer II, Distributed Cloud, Google Cloud

Google

Austin, TX • On-site

$55.75 - $76.25/hr

Full-time

Posted 28 days ago


Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies


Job description

info_outline
X The application window will be open until at least July 21, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience developing learning solutions in various formats.
  • Experience with on-premises virtualization, hybrid cloud architectures, or Kubernetes (GKE) cluster administration.
  • Experience with private data center operations, edge computing, or air-gapped network security controls such as firewalls, proxy environments, or identity federation.
  • Experience collaborating with technical subject-matter experts.
  • Experience using generative AI tools to assist in the development of learning content.

Preferred qualifications:
  • Certification in Google Cloud, Associate Cloud Engineer, Professional Cloud Architect, Professional Cloud Security Engineer, Professional Cloud Network Engineer, or equivalent industry credentials.
  • Experience with air-gapped operations, cryptographic key management, or sovereign cloud regulatory frameworks (e.g., FedRAMP, IL5/IL6, or regional European sovereignty standards).
  • Experience designing, evaluating, or strategizing generative AI implementations or content development efficiency solutions for scalable technical training programs.
  • Experience creating lab activities, isolated sandboxes, virtualized labs and interactive simulations using the e-learning development tools.
  • Experience coding or scripting in one of the following languages: Python, JavaScript/Node, Go, Java/Kotlin, or Unix/Linux shell scripting.

About the job
As a Technical Curriculum Developer for Google Distributed Cloud (GDC), you will design, develop, and maintain technical learning content and curricula for specialized hybrid and sovereign cloud roles. These include Deployment Engineers, Infrastructure Operators, Platform Administrators, Application Operators, Security and Network Engineers, and Field Technicians who need to deploy and manage Google Distributed Cloud workloads.
In this role, you will have the ability to translate intricate hardware, systems networking, and private-cloud software orchestration documentation into effective learning curricula. You should have a strong grasp of on-premises virtualization, Kubernetes-based infrastructure, secure networking, and sovereign compliance requirements, as well as standard instructional design methodologies. You will enjoy keeping their systems administration, edge computing, and hybrid architecture skills sharp while driving training innovation across secure environments.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $141000 - $206000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Design and build multimodal, learner-centric training content (e.g., instructor-led training, e-learning, labs, and job aids) leveraging the ADDIE instructional design framework.
  • Develop expertise in Google Distributed Cloud (GDC) Connected and Air-Gapped solutions-including hardware, local platforms (GKE, Storage, VPC), and Gemini on GDC-to drive effective customer training strategies.
  • Partner cross-functionally with product management, hardware engineering, site operations, and security compliance to seamlessly integrate technical capabilities into the curriculum.
  • Conduct precise needs analyses to scope and define learning projects specifically tailored to the unique requirements of highly secure, air-gapped, and sovereign cloud environments.
  • Establish best-practice standardization across all technical curricula by applying agile methodologies and leveraging Generative AI to revise content, scale efficiency, and elevate quality alongside rapid product innovations.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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