Trainer - AI & Digital Productivity

Training Delivery and Curriculum Implementation Artificial Intelligence and Digital Productivity Smart Data Management and Analysis Practical Assessments and Student Evaluation Student Mentoring and Employability Attendance, Documentation and MIS Centre Coordination and Quality Assurance Student Counselling Supporting in placement activities Preparing testimonials and case studies Participation in placement drives and Industry visits Requirements Graduate in Computer Science, Information Technology, Computer Applications, Data Analytics, or a related discipline; candidates with relevant technical diplomas and demonstrable expertise may also be considered.

Relevant certification or training in AI tools, digital productivity applications, spreadsheets, data management, or digital skills training is desirable. Prior experience in digital skills training, vocational education, IT training, or employability programmes is preferred. Experience in delivering practical, learner-centric training to youth or underserved communities is an advantage.