Principal AI Educator / University AI Trainer — MSc/PhD

🚀 GGES is Hiring: Principal AI Educator / University AI Trainer — MSc/PhD 🚀
+ Remote + Periodic On-Campus Delivery in Jordan | Project-Based Contract
Galaxy Gates Enterprise Solutions (GGES) is expanding its AI Education & Professional Training practice and is seeking an exceptional Principal AI Educator / Applied AI Trainer for an anticipated higher-education training engagement in Jordan.
This is not a basic AI-tools or ChatGPT training role.
We are looking for a genuine educator who combines strong academic foundations, real hands-on Artificial Intelligence experience and the ability to teach university faculty, researchers, engineers and professional learners.
+ What You May Deliver:
The programme includes short professional AI courses, faculty-development programmes and potentially a longer Applied AI professional training programme.
Topics may include:
• Artificial Intelligence & Machine Learning Foundations
• Python for AI & Machine Learning
• Deep Learning
• Generative AI & Large Language Models
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• Agentic AI & Multi-Agent Systems
• AI Automation & Intelligent Workflows
• Computer Vision
• NLP
• Responsible / Ethical AI
• AI for Academic Research
• AI for Teaching & Assessment
• AI Strategy & Adoption
• Applied AI for Engineering
• Predictive Maintenance & Engineering Analytics
• AI-Assisted Inspection
• Surrogate Modelling
• Digital Twins
• Research Projects, Labs and Capstones
Training is highly practical and must combine theory with demonstrations, laboratories, exercises, projects and assessments.
+ Required Academic Background:
+ Minimum:
Master's / M.Tech / M.E. / MPhil in one of the following or a closely related discipline:
• Artificial Intelligence
• Machine Learning
• Data Science
• Computer Science
• Computer Engineering
• Software Engineering
+ PhD holders are strongly preferred.
+ Required Experience:
We are particularly interested in candidates who have:
• 5+ years of university, professional or enterprise training experience
• Strong live classroom and/or virtual instructor-led training experience
• Demonstrated ability to teach adult learners, engineers, academics or working professionals
• Strong hands-on experience with Python and modern AI/ML frameworks
• Practical experience with Machine Learning and Deep Learning
• Current knowledge of Generative AI, LLMs, RAG and AI Agents
• Experience creating labs, assignments, projects and assessments
• Strong presentation and communication skills
• Excellent professional English
Experience delivering Faculty Development Programs (FDPs), university programmes, executive education, corporate technical training or international training programmes is highly desirable.
Arabic is an advantage but is not required.
We Want an EDUCATOR, Not Only an Engineer!
Technical ability alone is not enough.
The successful trainer must be able to explain difficult ideas clearly, structure learning progressively, engage experienced participants, answer challenging technical questions and translate theory into practical applications.
We strongly welcome applications from:
• University lecturers and professors
• Adjunct faculty
• Independent AI educators
• Faculty-development trainers
• Corporate AI trainers
• PhD researchers with substantial teaching experience
• Experienced AI practitioners with a proven education/training record
+ Delivery Model:
🌍 Remote instructor-led training
🏫 Selected face-to-face training blocks in Jordan
🔄 Blended programmes combining online learning and on-campus practical sessions
Applicants must be comfortable teaching participants located in the GMT+3 / Jordan time zone.
Candidates willing and able to travel periodically to Jordan are strongly preferred.
+ Compensation:
This is a paid, project-based professional engagement.
Remote live delivery:
USD $15–$25/hour, depending on qualifications, teaching record and expertise.
Face-to-face delivery in Jordan:
USD $120–$250/day, depending on profile and programme requirements.
For approved international trainers, GGES can separately arrange or reimburse agreed:
✈ Economy airfare
🏨 Accommodation
🛂 Visa-related expenses
🚕 Required local transportation
Longer programmes may instead be contracted using an agreed fixed module, cohort or programme fee.
+ How to Apply:
Please submit:
Updated academic/professional CV
Highest degree and university
AI/ML specializations
Total years of teaching/training experience
Approximate number of training hours / learners taught
Courses and programmes you have previously delivered
Links to recorded lectures, webinars or training demonstrations, if available
Sample syllabus, lab or course outline, if available
Current country and city
Availability for remote delivery
Ability to travel to Jordan
Your expected remote hourly rate in USD
Your expected onsite daily rate in USD
Shortlisted candidates will complete a technical discussion and a brief live teaching demonstration.
Engagement: Independent Contractor / Project-Based
Organisation: Galaxy Gates Enterprise Solutions — GGES
Delivery: Remote + Jordan
Field: Artificial Intelligence / Machine Learning / Higher Education / Professional Training
We are interested in educators who can make advanced AI practical, rigorous and genuinely useful — not simply present slides.
Apply through LinkedIn with your CV and supporting teaching evidence.

Work arrangement
Hybrid