AI lead & automation Trainer

Job Title: Lead AI & Automation Engineer (Corporate Trainer)

Location: Dubai, UAE (Mainland / On-site)

Reporting to: Managing Director / CEO

1. Core Mission

To develop and deliver industry-leading training programs that go beyond theory. You will teach students and corporate clients how to "AI-fy" every aspect of their business—from coding and data analysis to automated customer journeys—ensuring they save at least 40% of their operational time through technology.

2. Technical Knowledge & "Must-Know" Programming

The candidate must be proficient in the following languages and frameworks to lead your "Technical Skills" permit category:

Primary Language: Python (Expert level). Must be able to teach libraries like Pandas, NumPy, Scikit-learn, and PyTorch for data automation.
Web & Automation: JavaScript/TypeScript. Essential for teaching web scraping and building custom automation scripts.
Database: SQL. To teach how AI interacts with large-scale business databases.
Low-Code/No-Code: Expert mastery of Zapier, Make.com, and Interakt/WhatsApp API (crucial for your current institute operations).

3. "AI in Everything" Usage Requirements

We are looking for a trainer who uses AI as their "co-pilot" in every task. They must be able to teach:

AI for Coding: Using GitHub Copilot or Cursor to refactor and debug code 5x faster.
AI for Operations: Automating lead follow-ups, invoice generation (QuickBooks/Odoo integration), and CRM updates.
AI for Content: Advanced Prompt Engineering for high-quality marketing assets and video beat-syncing.
AI for Analytics: Using LLMs to analyze financial reports and predict business trends.

4. Key Responsibilities

Syllabus Engineering: Create a 12-week "AI Business Transformation" course for KHDA approval.
Practical Labs: Set up a "Digital Automation Lab" where students build live bots during class.
Corporate Consulting: Assist the MD in selling customized AI workshops to Dubai-based SMEs.
Compliance: Ensure all curriculum aligns with the Dubai Economic Agenda (D33) and the UAE AI Strategy 2031.

5. Candidate Requirements (The "KHDA Filter")

Education: Bachelor’s or Master’s in Computer Science or Software Engineering (Must be MOFA Attested).
Teaching Portfolio: Proven track record of training groups of 20+ professionals.
UAE Context: Familiarity with the Dubai regulatory landscape and local business culture.
The "Demo" Challenge: Candidates will be required to build a working automation bot in 30 minutes during the final interview.

Job Types: Full-time, Part-time, Contract, Permanent, Temporary
Contract length: 12 months

Pay: AED2,500.00 - AED5,500.00 per month

Expected hours: 48 per week

Application Question(s):