Robotics with Physical AI Trainer

Company Description GrowAI Edtech is an AI-focused education and consulting organization that specializes in training individuals for careers in artificial intelligence. The company offers structured, comprehensive programs that help professionals build strong technical and conceptual foundations in AI. With expert guidance, GrowAI Edtech supports learners in developing practical skills that are relevant to real-world applications. The organization emphasizes career readiness, continuous skill development, and growth in the rapidly evolving AI landscape. Joining GrowAI Edtech means contributing to accessible AI education while advancing your own expertise.
Role Description The Robotics with Physical AI Trainer is a part-time remote role focused on delivering engaging, practical instruction in robotics and physical AI concepts to learners of varying experience levels. Day-to-day responsibilities include designing lesson plans and curricula that integrate robotics hardware, sensors, and control systems with AI algorithms and practical applications. The trainer will conduct live or recorded online sessions, demonstrate hands-on activities, guide learners through projects, and provide individualized feedback on their progress. Additional tasks include creating learning materials and assessments, adapting content based on learner performance, collaborating with the academic team to improve program quality, and staying current with emerging trends in robotics and physical AI. The role also involves maintaining clear communication with learners, supporting a positive online classroom environment, and documenting attendance and learning outcomes.
Qualifications
Candidates should possess skills in Sports Coaching and Fitness Instruction, with the ability to structure progressive training sessions and guide learners effectively.
Candidates should possess skills in Personal Training and Circuit Training, including designing tailored activity plans and monitoring performance and safety.
Candidates should possess foundational knowledge of Nutrition to support holistic learning experiences and promote sustainable performance habits.
Experience in robotics, embedded systems, or mechatronics, including working with microcontrollers, sensors, and actuators.
Applied knowledge of AI or machine learning concepts as they relate to physical systems, such as control, perception, or navigation.
Prior experience teaching, tutoring, mentoring, or delivering technical workshops in an online environment.
Strong communication skills, with the ability to explain complex technical concepts clearly to diverse audiences.
Bachelor’s degree or higher in engineering, computer science, robotics, AI, education, or a related field, or equivalent practical experience.
Ability to work independently, manage a part-time remote schedule, and use online collaboration and learning tools effectively.

Work arrangement
No