AI/ML Content & Design Intern
Remote | Internship
ABOUT THE ROLE
We are looking for a passionate and creative AI/ML Intern who can bridge the gap between complex machine learning concepts and clear, engaging content. You will be equally involved in writing and visual design making AI/ML accessible to learners and professionals alike.
ELIGIBILITY CRITERIA
Currently enrolled in a Government University or Government-recognized Institute (preferred) Must have completed 2nd Year or 3rd Year by the application date Minimum CGPA of 6.0 on a 10-point scale (or equivalent percentage) Pursuing a degree in Computer Science, Data Science, AI/ML, IT, or a related field
Note: Candidates will be required to submit their latest marksheet during the hiring process. Applications without marksheet verification will not be considered.
RESPONSIBILITIES
Write clear, structured explanations of ML algorithms, concepts, and use cases Design interactive visuals, diagrams, and infographics to illustrate AI/ML topics Develop educational content such as tutorials, blog posts, and explainer articles Create engaging presentations and learning modules on ML concepts Collaborate with the team to ensure technical accuracy and creative quality Research emerging AI/ML trends and translate them into digestible content
REQUIREMENTS
Basic understanding of Machine Learning concepts (supervised, unsupervised, deep learning) Strong written communication skills in English Familiarity with design tools (Canva, Figma, or similar) Ability to simplify complex technical topics for non-technical audiences Currently pursuing or recently completed a degree in CS, Data Science, or related field
NICE TO HAVE
Experience with Python or ML libraries (scikit-learn, TensorFlow, PyTorch) Portfolio of technical writing or design work
Knowledge of tools like Jupyter Notebook, Notion, or Webflow Understanding of Neural Networks architecture, layers, activation functions, and training
Familiarity with Deep Learning topics such as:
– Convolutional Neural Networks (CNNs)
– Recurrent Neural Networks (RNNs) & LSTMs
– Transformers & Attention Mechanisms
– Generative AI (GANs, Diffusion Models)
– Natural Language Processing (NLP)
– Computer Vision fundamentals
Ability to explain the above topics visually or through written content
WHAT YOU GAIN
Real-world experience in AI/ML content creation
Letter of recommendation upon successful completion
Portfolio-worthy projects and published work
Mentorship from experienced AI professionals
Flexible remote work schedule
Benefits:
- Flexible schedule
- Work from home
Application Question(s):
- Name of College/University.
Work Location: Remote
