Master Trainer AI & Data Analytics

Job Summary

Master Trainer AI Data Analytics - role: College Mobilisation Training. The Master Trainer will play a dual role of College Coordinator and Trainer, with end-to-end responsibility for college engagement, student mobilisation, counselling, training delivery. The role will focus on building a continuous pipeline of students from colleges, preparing them for training, independently delivering assigned modules, and supporting student retention, completion and employment readiness. Location: Jaipur. Job Type: Full time.

Key Responsibilities

• Identify and establish relationships with colleges, ITIs and other educational institutions in the assigned geography. Meet College Principals, TPOs, Placement Officers, faculty and relevant SPOCs to introduce and promote the programme.
• Develop and maintain strong relationships with college SPOCs to ensure continuous student mobilisation. Plan and conduct college visits, programme orientations, presentations and awareness sessions. Identify new colleges and institutions to expand the student pipeline.
• Be willing to travel as required by the project for college engagement, mobilisation, orientations and training activities.
• Conduct student orientation, career counselling and programme awareness sessions.
• Explain programme benefits, eligibility, training schedule, career opportunities and expectations to students.
• Follow up with interested students and convert leads into registrations/enrolments.
• Ensure students are appropriately counselled before joining the programme to minimise dropouts.
• Plan batches based on the student pipeline and project requirements.
• Coordinate with the Centre Team for batch creation, documentation, scheduling and other operational requirements.
• Ensure students complete the required enrolment and documentation within timelines.
• Maintain a continuous pipeline so that the next batch is ready while the current batch is under training.
• Independently deliver training as per the approved curriculum, session plans and quality standards.
• Primary training modules will include: AI and Digital Productivity; Foundational Knowledge of Data Analytics; Conduct practical activities, assessments, exercises and learner engagement activities; Monitor attendance, participation, learning progress and student performance; Ensure timely completion of assigned training batches; Maintain training quality and ensure effective learner engagement throughout the programme.
• Work closely with the Placement Team to prepare students for employment opportunities.
• Support employability, interview preparation and career guidance.
• Encourage participation in placement drives.
• Track student interest and readiness for employment.
• Support post-training follow-up wherever required.
• Maintain accurate student, batch, attendance, training and outcome-related records.
• Prepare required reports and provide regular updates to the Project/Centre Team.
• Support centre activities, events, audits, documentation and other operational requirements.
• Coordinate with facilitators and Centre Team members wherever additional support is required.
• Support local outreach activities to increase programme visibility and student participation. Participate in career fairs, college events, community events and other mobilisation activities.
• Develop local networks with relevant stakeholders to strengthen student mobilisation. Identify new outreach channels to increase registrations and enrolments.

Qualifications and Experience

• Education: Graduate in any relevant discipline. Preferable candidates with a background in IT, Computer Applications, Data Analytics, Management or related fields will be preferred.
• Experience: Minimum 3 years of relevant work experience, preferably in training, teaching, employability programmes, digital skills, college engagement or student mobilisation.
• Training Exposure: Prior experience in training/facilitation is mandatory, with the ability to independently conduct classroom/online training for college students or young learners.
• Technical Knowledge: Good working knowledge of AI and Digital Productivity tools, along with foundational knowledge of Data Analytics.
• Should be comfortable learning and delivering new-age digital tools, technologies and concepts.
• Mobility: Should be willing and comfortable to travel and mobilise colleges/students as per project requirements, including visits to colleges, institutions and other outreach locations.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.