Codingal Internship 2026: Curriculum Developer Intern, ₹25K
Codingal is offering a Curriculum Developer Intern opportunity focused on Artificial Intelligence and coding education. The internship is suitable for candidates who enjoy Python, AI concepts and creating educational content that makes technical topics easier to understand. Interns will help develop lesson plans, coding examples, quizzes and hands-on projects for children and teenagers learning programming and AI.
The role is based onsite in Bengaluru and offers an official stipend of ₹20,000–₹25,000 per month, according to the supplied job details. Candidates pursuing or recently completing a degree in Computer Science, AI/ML, Data Science or a related field can consider applying. Strong Python fundamentals, clear written communication and the ability to explain technical concepts to younger learners are important for this role.
Quick Job Snapshot
| Company | Codingal |
| Role | Curriculum Developer Intern (AI & Coding) |
| Qualification | Pursuing or recently completed a degree in Computer Science, AI/ML, Data Science or a related field |
| Experience | Internship opportunity; prior teaching experience is an advantage, not stated as mandatory |
| Eligible Batch | Not specifically stated; candidates should confirm their eligibility on the application page |
| Stipend | ₹20,000–₹25,000 per month |
| Job Type | Internship |
| Location | Bengaluru, Karnataka |
| Work Mode | Onsite |
| Duration | Not specified in the supplied listing |
Role Overview
The Codingal Curriculum Developer Intern role combines programming knowledge, AI concepts and educational content development. Codingal provides coding and AI education to children and teenagers through online classes. In this position, interns help turn technical subjects into structured, age-appropriate learning experiences.
Rather than focusing only on software development, the role involves designing lessons, testing code examples, creating learning activities and improving course materials based on student learning needs. It may suit candidates who enjoy both technology and explaining concepts in a simple, practical way.
Responsibilities
- Develop and improve lesson plans, coding examples, quizzes, classroom activities and assignments.
- Break complex programming and AI concepts into clear, step-by-step instructions for younger learners.
- Create curriculum content covering generative AI, machine learning, natural language processing and computer vision.
- Design hands-on projects that help students explore AI tools and build applications or games.
- Collaborate with teachers to make course materials easy to teach and suitable for different learning levels.
- Identify common student difficulties, such as syntax errors, debugging problems and misunderstandings of programming concepts.
- Review content carefully to improve code accuracy, clarity, consistency and learning outcomes.
- Use suitable programming libraries, AI tools and APIs when developing learning materials.
Required Skills and Eligibility
- Education: Pursuing or recently completed a degree in Computer Science, AI/ML, Data Science or a related field.
- Python: A strong foundation in Python programming, including variables, loops, functions, conditionals and debugging.
- Data science: Understanding of basic data science and machine learning concepts.
- AI knowledge: Interest in generative AI, machine learning, NLP and computer vision.
- Communication: Excellent written communication and the ability to explain technical concepts in simple language.
- Attention to detail: Ability to find errors in code, lesson instructions and educational materials.
- Learning mindset: Willingness to experiment with AI tools and improve content through feedback.
Additional skills that can strengthen your application:
- Experience with scikit-learn, Hugging Face or APIs from OpenAI or Anthropic.
- Familiarity with Scratch, MIT App Inventor or web technologies such as HTML, CSS and JavaScript.
- Teaching, tutoring, mentoring or creating educational tutorials.
- A portfolio containing a lesson plan, coding tutorial, blog post or small AI project.
Salary and Stipend Details
According to the supplied listing, Codingal offers a monthly stipend of ₹20,000 to ₹25,000 for this onsite internship in Bengaluru.
| Minimum monthly stipend | ₹20,000 |
| Maximum monthly stipend | ₹25,000 |
| Annualized equivalent | ₹2.4 lakh–₹3 lakh, if paid at the same rate for 12 months; this is a calculation, not an annual salary offer |
| Internship duration | Not specified |
The actual total stipend will depend on the internship duration and the terms of the offer. Candidates should confirm the duration, payment schedule, workdays and any other conditions with Codingal during recruitment.
Why Consider This Internship?
- Practical AI exposure: Apply AI and programming concepts while developing learning content.
- Portfolio development: Create lessons, tutorials and projects that demonstrate both technical and communication skills.
- Education technology experience: Understand how technical content is designed for different age groups and skill levels.
- Communication skills: Practise making complex ideas understandable to beginners.
- Mentorship: The supplied listing highlights mentorship from senior curriculum leads.
- Real-world impact: Contribute to educational resources used by students and teachers.
Recommended Learning Resources
- Python Course and Notes – Strengthen Python fundamentals and practise beginner-friendly code examples.
- Data Science Complete Course – Review data science and introductory machine learning concepts.
- Web Development Full Course – Learn the web basics that can be useful when creating interactive educational projects.
Interview Preparation
Prepare to demonstrate both your technical understanding and your ability to teach. A strong candidate should be able to explain a concept accurately without relying on complicated terminology.
- Revise Python variables, loops, functions, conditionals, lists and common beginner errors.
- Understand basic machine learning concepts, including training data, prediction, classification and model evaluation.
- Practise explaining a topic such as machine learning to a 10- or 12-year-old using a simple example.
- Create a one-page lesson plan with a learning objective, a short explanation, a code example and a hands-on activity.
- Build a small AI project and document its setup, code, expected output and limitations.
- Prepare to explain how you would test a code example and make instructions easier for students to follow.
- Bring a portfolio link if available, and be ready to discuss your personal contribution to each project.
For additional preparation, review this self-introduction for interview guide.
Possible Selection Process
The exact selection stages and assessment format have not been confirmed in the supplied details. Based on the described hiring information, candidates can prepare for the following possible steps:
- Online application: Submit your details and resume through Codingal’s hiring page.
- Resume and portfolio screening: The hiring team may assess programming knowledge, projects and communication skills.
- Practical assignment: You may be asked to simplify a lesson, correct a code example or design a beginner AI activity.
- Technical and curriculum interview: Be prepared for Python, AI fundamentals and questions about explaining concepts to children.
- Final discussion: Discuss internship terms and next steps if shortlisted.
This is a preparation guide, not a guaranteed official selection sequence. Follow the instructions provided by Codingal’s recruitment team.
Documents Required
- Updated resume highlighting Python, AI/ML projects and relevant coursework.
- Portfolio link featuring a lesson plan, tutorial, blog post or small AI project, if available.
- College ID or degree certificate, as applicable.
- Government-issued photo ID if requested during the recruitment process.
- Any additional information or documents requested in the application form.
Keep your resume concise and describe your projects clearly. For this curriculum-focused role, a well-written tutorial or lesson plan can help demonstrate your ability to explain technical ideas.
How to Apply for Codingal Internship 2026
- Open the official Codingal Curriculum Developer Intern application page on Dover.
- Read the job description and confirm the onsite Bengaluru requirement and educational eligibility.
- Complete the application form with accurate contact and academic details.
- Upload your latest resume.
- Add a portfolio or project link if you have one.
- Review the details and submit your application.
- Monitor your email for any assignment, interview invitation or follow-up message.
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Frequently Asked Questions (FAQs)
1. What is the stipend for the Codingal Curriculum Developer Intern role?
The supplied job details list a stipend of ₹20,000–₹25,000 per month. Confirm the exact amount and payment terms with Codingal during the hiring process.
2. Who can apply for the Codingal Internship 2026?
Candidates pursuing or recently completing a degree in Computer Science, AI/ML, Data Science or a related field can consider applying. Strong Python fundamentals, basic AI/ML knowledge and clear written communication are important. The supplied listing does not specify a particular graduating batch.
3. Is the Codingal internship remote or onsite?
The supplied listing describes the position as onsite in Bengaluru, Karnataka. The internship duration has not been stated, so applicants should confirm the duration and other work conditions with the hiring team.
If you enjoy Python, AI and explaining technical concepts to beginners, this internship may be worth exploring. Prepare a small AI project or lesson plan to demonstrate your skills, and share this opportunity with others who may be interested in AI and coding education.