NATURAL LANGUAGE PROCESSING (NLP) INTERN

About the program About the Program EduRankAI is an Artificial Intelligence, Education Technology, Research, and Enterprise Technology organization developing intelligent digital platforms, enterprise software, and technology solutions for academia, industry, government, and global organizations. The Natural Language Processing NLP Internship provides practical exposure to computational linguistics, text analytics, language modeling, information extraction, multilingual language technologies, conversational AI, and intelligent language processing systems. Interns will contribute to the development of NLP pipelines, language understanding systems, text processing applications, and AIpowered language solutions. Working alongside artificial intelligence, machine learning, software engineering, and research teams, interns will gain handson experience in building, evaluating, and improving language processing systems while strengthening their understanding of modern NLP techniques and realworld AI applications. Key Responsibilities Assist in developing Natural Language Processing applications and solutions. Support text preprocessing, cleaning, and data annotation activities. Build and evaluate text classification and information extraction pipelines. Assist in sentiment analysis, text summarization, and document processing projects. Support multilingual NLP and language understanding initiatives. Participate in conversational AI and chatbot development projects. Assist in developing named entity recognition and language modeling systems. Evaluate NLP model performance using standard evaluation metrics. Prepare technical documentation, datasets, and project reports. Collaborate with AI, software engineering, and research teams on live projects. Stay updated with recent developments in NLP and computational linguistics. Perform additional NLPrelated assignments as required. Learning Outcomes Interns will gain practical exposure to: Natural Language Processing Computational Linguistics Text Analytics Text Preprocessing Tokenization Language Modeling Text Classification Sentiment Analysis Named Entity Recognition Information Extraction Conversational AI Multilingual AI Prompt Engineering AI Model Evaluation Technical Documentation Eligibility Students pursuing or having completed: B.E.B.Tech in Computer Science Engineering Artificial Intelligence Data Science Information Technology Software Engineering Electronics Communication Engineering Computational Linguistics M.E.M.Tech in relevant disciplines MCA M.Sc. in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or related disciplines Any equivalent programme Strong programming skills, analytical thinking, communication skills, and an interest in Artificial Intelligence and language technologies will be an added advantage but are not mandatory. Department Artificial Intelligence Data Science Qualification Type UG PG Qualification B.E. B.Tech M.E. M.Tech MCA M.Sc. Select Specialisation Computer Science Engineering Artificial Intelligence Machine Learning Data Science Software Engineering Information Technology Computational Linguistics Mathematics Statistics Electronics Communication Engineering Any Relevant Engineering or Science Discipline Perks Internship Certificate Letter of Recommendation (Performance Based) Mentorship from experienced AI and engineering professionals. Opportunity to contribute to live Natural Language Processing and Artificial Intelligence projects. Exposure to modern NLP techniques, multilingual AI, conversational systems, and language technologies. Professional development sessions on Artificial Intelligence, research methodologies, software engineering, and technical communication. Outstanding performers may be considered for extended internships, leadership opportunities, or future full-time positions based on organizational requirements. Who can apply? Only those candidates can apply who: are from Any and specialisation from Any are available for duration of 3 Months have relevant skills and interests Terms of Engagement Internship Type: Full-Time Mode of Internship: Online Duration: 3 Months Working Days: 6 Days per Week Total Engagement: Approximately 40 Hours Per Week (?480 Hours over 12 weeks) Project Work / Departmental Responsibilities: Approximately 5 Hours Per Day Holistic Well-being & Personal Development: Approximately 1 Hour 40 Minutes (1.67 Hours) Per Day, including physical fitness, mindfulness, reading, reflective learning, leadership development, community engagement, and other approved personal development activities. Weekly mentor reviews and performance evaluations will be conducted. Interns are expected to maintain professionalism, confidentiality, ethical conduct, and adherence to organizational policies. This is an unpaid internship. Internship Certificate will be awarded upon successful completion of internship requirements. Internship does not constitute an offer of employment. Number of openings 10