Hands-on AI Trainer for Real-World Projects

Tuwaiq Academy | أكاديمية طويق

Riyadh

On-site

SAR 180,000 - 320,000

Full time

5 days ago
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Job summary

Tuwaiq Academy in Riyadh is seeking an experienced AI Trainer to design and deliver hands-on AI training programs for learners at multiple levels. You will create engaging, project-based content and mentor participants to accelerate practical skills.

Lead learners in building production-ready AI applications, evaluate progress, and stay current with emerging AI tech and best practices in a dynamic training environment.

Qualifications

  • Bachelor's degree in CS/AI/DS or related field.
  • 5+ years of AI/ML/DS experience.
  • Experience delivering technical training, workshops, bootcamps, or mentoring.
  • Strong Python proficiency with PyTorch, TensorFlow, scikit-learn, or LangChain.
  • Excellent communication and presentation skills.
  • Ability to explain complex concepts to learners at different levels.

Responsibilities

  • Deliver instructor-led training in Artificial Intelligence and Generative AI.
  • Teach foundational and advanced AI concepts through practical, project-based learning.
  • Guide trainees in building production-ready AI applications.
  • Evaluate learner performance and provide constructive technical feedback.
  • Support learners throughout their training journey and encourage continuous improvement.
  • Stay up to date with emerging AI technologies, frameworks, and best practices.

Skills

Python
PyTorch
TensorFlow
scikit-learn
LangChain
Project-based learning
Communication
Presentation skills
Mentoring
Hands-on training

Education

Bachelor's degree in Computer Science / AI / Data Science / Software Engineering

Tools

Docker
Git
Cloud platforms (AWS/Azure/GCP)

Job description

Tuwaiq Academy in Riyadh is seeking an experienced AI Trainer to design and deliver hands-on AI training programs for learners at multiple levels. You will create engaging, project-based content and mentor participants to accelerate practical skills.

Lead learners in building production-ready AI applications, evaluate progress, and stay current with emerging AI tech and best practices in a dynamic training environment.

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