AI / ML Trainer Intern – Remote

Job Title : AI / ML Trainer Intern – Remote

Company : Zylentrix Ltd (UK)

Location : Remote (India-based candidates preferred)

Job Type : Internship (Full-Time, 3 Months)

Stipend : ₹5,000 / month

After 3 Months : ₹15,000 - ₹25,000 / month

Experience Level : Freshers / Early-Career Professionals

Function : AI / ML Training

• Peer Mentoring
• Learning Support

Industry : Education

About the Role

Zylentrix Ltd, a UK-based global consultancy, is hiring an AI / ML Trainer Intern to support the learning journeys of interns and learners across our training ecosystem.

This role is ideal for someone who is technically sound in machine learning, yet also passionate about explaining concepts, mentoring peers, and contributing to learning material creation.

You'll be working alongside training leads, technical teams, and education product managers to simplify AI / ML for others.

Key Responsibilities

Data Analytics Skills

While this role focuses on AI / ML, candidates with hands-on skills in Data Analytics (Excel, SQL, Power BI, Tableau, dashboards, reports, etc.) will be given additional preference.

We're looking for someone who can draw insights from data, not just train models.

What We're Looking For

Perks & Career Growth

₹5,000 / month stipend

Certificate of Completion + Letter of Recommendation

Path to become a full-time trainer (Salary 15K to 25K), project reviewer, or learning mentor

Access to premium resources, mentorship, and real-world application projects

Remote-first, flexible working hours

Exposure to AI in education tech, career tech, and automation platforms

Application Process

Apply directly via : https : / / forms.gle / NxpT8dtorknPXJHW8

Shortlisted candidates will receive a short training task + video round

Immediate joiners preferred

About Zylentrix Ltd

Zylentrix Ltd is a UK-based global consultancy driving innovation across education, recruitment, IT services, and career transformation. Through brands like InternZity, ZureLabs, and DigiZign, we are creating proof-driven, remote-first systems that shape the future of work.

If you love explaining what others find complex, if you believe teaching is learning twice — this is your space.

Apply now and shape minds — including your own.