WordPress Development Internship - Remote, Part-Time
GEMA Education Technology Private Limited
Remote · Tirocinio part-time
Sii il primo a candidarti
- Stipendio
- Stipendio: da 1.000 a 1.000 INR al mese
- Durata
- 3 mesi
- Inizio
- Immediatamente
- Aperture
- 3
Candidates who can work remotely, start between 24th July 2026 and 28th August 2026, are available for a three-month period, possess required technical skills, and preferably are Computer Science Engineering students.
- Modalità di lavoro
- Lavoro da casa
- Istruzione
- Computer Science Engineering student
- Riprendere
- È necessario candidarsi
Informazioni sul tirocinio
Internship Overview
This internship offers hands-on experience in designing, developing, and maintaining WordPress websites. Interns will work remotely, dedicating approximately 2 hours daily to the role. The position is ideal for Computer Science Engineering students or individuals with relevant skills and a passion for web development.
Roles and Responsibilities
Under this internship, you will be responsible for building and managing WordPress-based websites, ensuring functionality, responsiveness, and aesthetic appeal.
Candidate Eligibility
- Must be able to work remotely from home.
- Available to start between July 24, 2026, and August 28, 2026.
- Commit to a full internship duration of 3 months.
- Possess relevant skills and interest in WordPress development.
- Preference for Computer Science Engineering students.
Compensation and Benefits
The internship provides a monthly stipend of INR 1000. Additional advantages include a certificate of completion, a letter of recommendation, and flexible working hours.
About the Company
GEMA Education Technology Private Limited is a pioneering educational platform delivering interactive small-group online classes. Established in 2019, it has grown from serving homeschoolers to inspiring students globally, offering over 140,000 live classes to more than one million learners across 183 countries. The company emphasizes student engagement and passion-driven learning.