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Campus Ambassador Internship

InternshipPart-time

Pay₹1,000/month

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Deadline: 21/11/2026
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About the role

About the Company

Innovynex Solutions Private Limited is a technology-driven company working across software development, web and mobile applications, AI/ML solutions, and digital services. The Campus Ambassador internship gives students a chance to engage with a technology-focused organization, build practical communication and leadership experience, and help peers discover relevant learning and career opportunities.

Responsibilities

  • Represent Innovynex Solutions at your college and connect with student communities and campus clubs.
  • Share company activities, internship opportunities, and recruitment updates through campus networks, WhatsApp groups, and social media.
  • Identify interested students and connect them with the company team.
  • Support campus promotions and online campaigns, helping expand the organization's reach across colleges in India.

Requirements

  • Currently pursuing an undergraduate, postgraduate, or diploma course at a recognized college or university.
  • Freshers are welcome; no prior work experience is required.
  • Interest in technology, marketing, networking, or leadership, with good communication and interpersonal skills.
  • Active involvement in college communities and willingness to take initiative and work independently.

This is a remote, part-time internship lasting three months, with a monthly stipend of ₹1,000 subject to applicable performance. Participants can access technical training and practical learning, network with industry professionals, and develop leadership, communication, and marketing skills. Outstanding ambassadors may receive direct interview opportunities for future hiring. Goodies and rewards are available for top performers, along with an official certificate and a letter of recommendation for outstanding performance. The program also offers priority consideration for relevant future internship and career opportunities.

Skills for this role

Skills we detected for this role.

  • Machine Learning