Master Trainer – AI & Data Analytics

NIIT Foundation; Muzaffarpur; On-site; INR 350,000 - 480,000; Full time

Job summary

NIIT Foundation in Muzaffarpur is seeking a Master Trainer who will be a dual College Coordinator and Trainer responsible for college engagement, student mobilisation, counselling, and training delivery. The role builds a continuous pipeline of students from colleges and prepares them for training.

The role requires delivering modules on AI and Digital Productivity and foundational data analytics, monitoring attendance, engagement and progression, and supporting employment readiness.

Qualifications

• Education: Graduate in any relevant discipline; IT/DA background preferred.
• 3 years of relevant work experience in training, teaching or employability programmes.
• Training/facilitation experience is mandatory.
• Good knowledge of AI and digital productivity tools and data analytics basics.
• Willing to travel to colleges and mobilisation sites.

Responsibilities

• College engagement and partnership development with ITIs and other institutions.
• Batch formation, scheduling and training readiness activities.
• Independently deliver training per approved curriculum and quality standards.
• Placement and career readiness support and monitoring learner progress.
• Community outreach and student mobilisation to increase registrations.

Skills

AI and Digital Productivity

Data Analytics

Training/Facilitation

College Engagement

Student Mobilisation

Mobility

Education

Graduate in any relevant discipline

Tools

AI Tools

Job description

Muzaffarpur, India | Posted on 08/25/2026

NIIT Foundation (NF) is a not-for-profit education society ( NGO ) set up by the promoters of NIIT in 2004. Its mission is to positively impact the underprivileged of the country through educational initiatives and skill development programs . NIIT Foundation, an Education NGO has a mandate to reach the unreached, uncared and unattended to ensure inclusive development of India.

To shape the mandate, NIIT Foundation has begun a number of programs like donate for child education, skill development, Financial literacy and all, that positively impact the underserved of the country through various educational interventions. The intent of NF is to better understand the education and employability issues at the grassroots level. The organisation builds corporate and ngo partnerships for sustainable development.

Job Description

Job Description – Master Trainer

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.
  
• 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.
  
• 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 mobilisation.
  
• 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.