AI & Automation Intern

This role focuses on artificial intelligence, workflow automation, and digital transformation, supporting the development of smart systems that improve business operations across departments such as operations, sales, marketing, and administration.

The intern will gain hands-on experience in AI-driven workflows, computer vision, and data-driven automation. This is a great opportunity to work on practical AI projects, explore model development, and contribute to business process improvement.

Key Responsibilities:

• Assist in building AI models and workflows for business use cases
• Support tasks in computer vision such as image analysis, preprocessing, and basic object detection using OpenCV
• Help prepare and validate datasets for AI model training
• Support fine-tuning of pre-trained AI models (CNNs, RNNs) under guidance
• Assist in data extraction and cleaning for AI workflows
• Contribute to reusable AI and automation solutions
• Collaborate with teams to integrate AI tools into business processes and improve workflows

Saudi national

• Saudi national
• Diploma (minimum one academic year) or Bachelor s degree or higher
• Unemployed for at least 6 months
• Not currently registered with GOSI (General Organization for Social Insurance)
• Not previously enrolled in the Tamheer program
• Age not exceeding 30 years

Preferred Qualifications

• Strong interest in AI, computer vision, and automation

• Basic familiarity with OpenCV, CNNs, or RNNs is a plus

• 0 1 year of experience (fresh graduates encouraged)

• Strong communication, analytical, and problem-solving skills

• Eagerness to learn AI systems, model fine-tuning, and workflow automation concepts

• Preferably based in Riyadh

• Tamheer Internship Program (structured training opportunity)

• Hands-on experience in AI, computer vision, and automation

• Exposure to real business use cases across multiple departments

• Opportunity to work with modern AI tools and automation concepts

• Full-time training experience in Riyadh

• Professional development in a fast-growing technology domain