AI Engineering Instructor

Sizanid Staffing; United States; On-site; USD 55,000 - 96,000; Part time

Job summary

Sizanid Staffing seeks an experienced Applied AI Engineering Instructor to teach practical AI implementation and AI-powered solutions development. You will mentor students, share industry insights, and guide portfolio projects while staying current with AI trends.

The role emphasizes hands-on sessions, technical storytelling, and the ability to explain complex concepts clearly to aspiring AI engineers. Part-time position with experience-based pay.

Qualifications

• Bachelor’s degree in CS/AI-related field or equivalent experience.
• 4+ years of practical AI engineering experience preferred.
• Strong knowledge of AI workflows, automation, and APIs.
• Experience teaching or mentoring is a plus.
• Proficiency in Python and common ML frameworks.

Responsibilities

• Deliver engaging training sessions on applied AI concepts and tools.
• Teach students to build, deploy, and integrate AI-powered applications.
• Guide machine learning workflows and AI model integration for projects.
• Share case studies and real-world AI engineering insights.
• Mentor portfolio development and career pathways for students.
• Develop instructional materials, exercises, and demos.
• Conduct workshops, live demos, and hands-on sessions.
• Stay updated on Generative AI, NLP, and cloud AI platforms.

Skills

Python

AI frameworks

Mentoring

Presentation skills

Education

Bachelor's degree in CS/AI related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

About Our Client:

Our client, a growing educational and technology organization, is seeking an experienced Applied AI Engineering Instructor to teach and mentor students on practical artificial intelligence implementation, AI-powered solutions development, and real-world strategies for becoming successful Applied AI Engineers. This role is ideal for an experienced AI engineer or technology professional who is passionate about teaching and sharing hands‑on industry knowledge with aspiring AI and software engineering professionals. Key Responsibilities:

• Deliver engaging training sessions on applied AI concepts, tools, and real-world implementation strategies.
• Teach students how to build, integrate, and deploy AI-powered applications and intelligent systems.
• Guide students on machine learning workflows, AI model integration, automation systems, APIs, and practical AI engineering techniques.
• Share practical experiences, case studies, and real-world AI engineering project insights with students.
• Teach students how to apply AI technologies to solve business, operational, and technical challenges.
• Train students on prompt engineering, AI-assisted workflows, automation tools, and AI productivity solutions.
• Develop instructional materials, coding exercises, presentations, and project-based learning activities.
• Facilitate workshops, live demonstrations, and hands‑on AI implementation sessions.
• Mentor students on portfolio development, technical problem-solving, and AI career pathways.
• Stay updated on advancements in AI, machine learning, Generative AI, automation technologies, and emerging industry trends.

Requirements Qualifications & Skills:

• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, Data Science, or related field required.
• Minimum of 4?5 years of practical experience in AI engineering, machine learning, AI automation, software development, or related technology fields.
• Strong understanding of applied AI systems, AI integration, machine learning workflows, and intelligent automation solutions.
• Experience working with AI frameworks, APIs, cloud technologies, automation tools, or AI-powered applications.
• Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.
• Knowledge of prompt engineering, AI workflows, and practical AI implementation strategies.
• Excellent communication, presentation, and mentoring skills.
• Ability to explain technical concepts clearly and engage students effectively.
• Strong analytical, coding, and problem-solving abilities.
• Must be legally authorized to work in the USA or Canada.

Preferred Qualifications:

• Experience delivering technical training, workshops, or mentoring programs.
• Familiarity with Generative AI, NLP, LLMs, AI automation, or cloud AI platforms.
• Experience building and deploying AI-powered solutions in commercial or operational environments.
• Certifications in AI, cloud technologies, software engineering, or automation are an advantage.

Benefits Part time. Pay depends on experience.