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AI Instructor

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Tuwaiq Academy | أكاديمية طويق
Full Time position
Listed on 2026-10-22
Job specializations:
  • Education / Teaching
Salary/Wage Range or Industry Benchmark: 180000 - 320000 SAR Yearly SAR 180000.00 320000.00 YEAR
Job Description & How to Apply Below

We are seeking an experienced AI Trainer to design and deliver high-quality training programs in Artificial Intelligence. The ideal candidate is passionate about teaching, possesses strong technical expertise in AI, and can translate complex concepts into practical, hands-on learning experiences. The trainer will prepare learners for real-world AI careers through project-based instruction and technical mentorship.

Responsibilities
  • Deliver instructor-led training in Artificial Intelligence and Generative AI.
  • Teach both 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.
Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
  • 5+ years of professional experience in Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Experience delivering technical training, workshops, bootcamps, or mentoring.
  • Strong proficiency in Python and common AI/ML frameworks such as PyTorch, Tensor Flow, scikit-learn, or Lang Chain.
  • Excellent communication and presentation skills.
  • Ability to explain complex technical concepts to learners with different levels of experience.
Preferred Skills
  • Experience building AI-powered applications.
  • Knowledge of vector databases such as Pinecone, Chroma, Milvus, or FAISS.
  • Experience with MLOps concepts and model deployment.
  • Experience using Docker and Git.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
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