Master Trainer AI And Data Analytics

NIIT Foundation; Jaipur; On-site; INR 500,000 - 700,000; Full time

Job summary

NIIT Foundation in Jaipur seeks a Master Trainer to act as College Coordinator and Trainer. You will engage colleges, mobilise students, counsel, and deliver training modules including AI basics and data analytics, building employment readiness for learners.

You will form batches, manage registrations, monitor progress, and support placement activities with travel to colleges as required. Strong communication, training delivery excellence, and willingness to travel across colleges are essential

Qualifications

• Education: Graduate in any relevant discipline; IT/CS/Data Analytics background preferred.
• Experience: minimum 3 years in training, college engagement or employability programs.
• Training exposure: prior experience in training/facilitation is mandatory.
• Technical knowledge: AI and Digital Productivity tools; basics of Data Analytics.

Responsibilities

• College engagement and partnership development with colleges, ITIs and SPOCs.
• Student mobilisation, orientation, counselling and conversion to registrations.
• Batch formation, centre coordination and documentation within timelines.
• Independently deliver training per curriculum and quality standards.
• Support placement readiness and employability with career guidance.
• Maintain MIS: attendance, batch records and reports for Centre Team.
• Community outreach, career fairs and college events for visibility.

Skills

Training delivery

Student counselling

Communication skills

Mobility / travel readiness

Batch planning

Education

Graduate in any relevant discipline

Tools

AI tools

Digital productivity tools

Job description

Job Description:

Job Description – Master Trainer

Role: College Mobilisation & Training

Role Purpose

The Master Trainer willplay a dual role of College Coordinator and Trainer, with end-to-endresponsibility for college engagement, student mobilisation, counselling,training delivery. The role will focus on building a continuous pipeline ofstudents from colleges, preparing them for training, independently deliveringassigned modules, and supporting student retention, completion and employmentreadiness.

Key Responsibility Areas

1. College Engagement & Partnership Development

• Identify and establish relationships with colleges,ITIs and other educational institutions in the assigned geography. MeetCollege Principals, TPOs, Placement Officers, faculty and relevant SPOCsto introduce and promote the programme.
  
• Develop and maintain strong relationships withcollege SPOCs to ensure continuous student mobilisation. Plan and conductcollege visits, programme orientations, presentations and awarenesssessions. Identify new colleges and institutions to expand the studentpipeline.
  
• Be willing to travel as required by the project for college engagement, mobilisation, orientations and trainingactivities.
  

2. Student Mobilisation & Counselling

• Conduct student orientation, career counselling andprogramme awareness sessions.
  
• Explain programme benefits, eligibility, trainingschedule, career opportunities and expectations to students.
  
• Follow up with interested students and convertleads into registrations/enrolments.
  
• Ensure students are appropriately counselled beforejoining the programme to minimise dropouts.
  

3. Batch Formation & Training Readiness

• Plan batches based on the student pipeline andproject requirements.
  
• Coordinate with the Centre Team for batch creation,documentation, scheduling and other operational requirements.
  
• Ensure students complete the required enrolment anddocumentation within timelines.
  
• Maintain a continuous pipeline so that the nextbatch is ready while the current batch is under training.
  

4. Training Delivery

• Independently deliver training as per the approvedcurriculum, 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, learningprogress and student performance.
  
• Ensure timely completion of assigned trainingbatches.
  
• Maintain training quality and ensure effectivelearner engagement throughout the programme.
  

6. Placement & Career Readiness Support

• Work closely with the Placement Team to preparestudents for employment opportunities.
  
• Support employability, interview preparation andcareer guidance.
  
• Encourage participation in placement drives.
  
• Track student interest and readiness foremployment.
  
• Support post-training follow-up wherever required.
  

7. Centre Operations & MIS

• Maintain accurate student, batch, attendance,training and outcome-related records.
  
• Prepare required reports and provide regularupdates to the Project/Centre Team.
  
• Support centre activities, events, audits,documentation and other operational requirements.
  
• Coordinate with Facilitators and Centre Teammembers wherever additional support is required.
  

8. Community & Outreach Activities

• Supportlocal outreach activities to increase programme visibility and studentparticipation. Participate in career fairs, college events, communityevents and other mobilisation activities.
  
• Developlocal networks with relevant stakeholders to strengthen studentmobilisation. Identify new outreach channels to increase registrations andenrolments.
  

Qualification & Experience

• Education: Graduate in any relevant discipline. Preferable candidates with abackground in IT, Computer Applications, Data Analytics, Management orrelated fields will be preferred.
  
• Experience: Minimum 3 years of relevant work experience, preferably intraining, teaching, employability programmes, digital skills, collegeengagement or student mobilization.
  
• TrainingExposure: Prior experience in training/facilitation is mandatory,with the ability to independently conduct classroom/online training forcollege students or young learners.
  
• TechnicalKnowledge: Good working knowledge of AI and Digital Productivitytools, along with foundational knowledge of Data Analytics.
  
• Shouldbe comfortable learning and delivering new-age digital tools, technologiesand concepts.
  
• Mobility: Should be willing and comfortable to travel and mobilisecolleges/students as per project requirements, including visits tocolleges, institutions and other outreach locations.