Join Our Expert Instructors
At AI Trading Academy, we are proud to have a team of seasoned traders and industry experts dedicated to providing top-notch education and mentorship. Our instructors bring a wealth of real-world experience and practical knowledge to the classroom, ensuring that our students receive the highest quality training.
About our
Openings for Staff
Join our team and contribute to the next generation of successful traders. We offer opportunities for experienced professionals and Traders to share their expertise and make a significant impact on our students’ careers.
give us all track records of your trading prowess and certification
Current Openings for Staff
01
Trading Instructors
Lead classes, develop curriculum, and mentor students. Share your unique insights and experiences in special lecture sessions.
02
Pro-Traders
Exercise your professional Trading skills to maximum capacity while trading for our trusted company with
03
Research Analysts
Assist in developing and refining course materials with the latest market data and trends.
Send your resume to us by clicking get started
Opportunities for Non-Academic
We welcome experienced traders and industry professionals to contribute to our educational programs through part-time teaching or guest lecturing opportunities.
Send all resume to
- Recruitment Office
- E: resume@aitradingedu.com
- E: recruitment@aitradingedu.com
- P: +234 (807) 866-1095
- P: +234(706)5897-939
- Support Team
- E: support@aitradingedu.com
Part-Time Teaching:
Engage with students on a flexible schedule that complements your professional commitments.
Guest Lectures
Deliver specialized lectures and workshops, providing students with diverse perspectives and advanced knowledge.
Why Teach at AI Trading Academy?
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- Impactful Teaching: Shape the future of trading by educating and mentoring aspiring traders.
- Collaborative Environment: Join a supportive community of educators and professionals dedicated to excellence.
- Professional Growth: Enhance your own skills and knowledge through continuous learning and collaboration.
