Applied Mathematics & Modeling - AI trainer

Job Title: Applied Mathematics & Modeling - AI Trainer

Job Type: Part-time; Paid per task

Location: Remote

Job Summary:

Join our customer's team as an Applied Mathematics & Modeling - AI trainer, where you will shape the future of AI by leveraging your advanced mathematical expertise. This exciting remote opportunity invites passionate educators to design and deliver comprehensive training on applied mathematics and modeling, tailored specifically for AI development.

Key Responsibilities:

• Design and conduct engaging online training sessions focused on applied mathematics and mathematical modeling for AI applications.
• Develop and refine full-cycle prompting exercises to enhance participants' problem-solving and analytical skills.
• Create and update course materials, assessments, and project-based learning modules aligned with industry best practices.
• Support learners through clear written and verbal communication, ensuring concepts are accessible and actionable.
• Collaborate with the customer's team to identify training needs and tailor content for diverse learner backgrounds.
• Continuously evaluate and improve training effectiveness using feedback and performance metrics.
• Stay current on emerging trends in applied mathematics, modeling techniques, and AI methodologies.

Required Skills and Qualifications:

• PhD or Master’s degree in Mathematics, Applied Mathematics, or a closely related field.
• Demonstrated expertise in mathematical modeling, statistics, and analytical methods relevant to AI.
• Strong experience with full-cycle prompting and project-based training approaches.
• Exceptional written and verbal communication skills—ability to break down complex ideas into clear and concise concepts.
• Self-motivated, organized, and able to manage multiple projects in a remote environment.
• Familiarity with AI/ML concepts and how mathematics underpins these technologies.
• Passion for teaching, mentorship, and fostering a culture of continuous learning.

Preferred Qualifications:

• Experience training or mentoring professionals in AI, data science, or closely related technical domains.
• Proficiency with digital learning platforms and virtual training tools.
• Published work or research in applied mathematics, mathematical modeling, or AI integration.