SME Intern (Programmer/AI-ML)

Location: Work From Home

Type: Any (Part-Time | Full-Time)

Duration: 1-3 months

Stipend: 5000-10000 INR per month

Perks: Internship Certificate / Letter of Recommendation

Job Description

The SME Intern will assist in creating high-quality educational content, explanations, examples, and practice questions across Programming, Data Science, Machine Learning, and Artificial Intelligence domains. This role is ideal for college students who have strong conceptual understanding and enjoy simplifying topics for learners in a structured, academically sound manner.

You will work on tasks such as writing concept notes, preparing solved examples, creating quizzes, reviewing code, and supporting content development across multiple technical subjects.

Roles and Responsibilities

  • Write clear and beginner-friendly explanations for programming and AI/ML topics.
  • Prepare sample programs in languages like C, C++, Java, and Python.
  • Create practice questions, quizzes, and small assessments with solutions.
  • Develop structured notes for Data Science and ML concepts.
  • Review code samples for accuracy, clarity, and correctness.
  • Assist in preparing learning paths, chapter-wise content, and micro-lessons.
  • Document all content cleanly with proper formatting, examples, and explanations.

Skills Required

  • Strong understanding of programming fundamentals (any of C, C++, Java, Python).
  • Basic knowledge of data science or ML concepts (optional but beneficial).
  • Good written communication and ability to simplify technical content.
  • Attention to detail and academic clarity.
  • Familiarity with Jupyter/Colab or coding environments (preferred).
  • Basic Git knowledge is helpful but not required.

Qualification

  • Pursuing a Bachelor's degree in Computer Science, Data Science, AI/ML, or related technical fields.
  • Strong academic performance in programming and ML-related subjects.
  • No prior SME/content-writing experience required.
  • Genuine interest in teaching, explaining, and academic content creation.
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