CoRover.ai

NLP Intern

InternshipHybridRaipur, Chhattisgarh3 months26K/mo2 openingsImmediate / Rolling

About this internship

CoRover.ai is hiring a NLP Intern in Raipur — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to natural language processing rather than a certificate-only programme. About the role As a NLP Intern at CoRover.ai, your core focus will be building text…

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Skills you'll use

PythonNatural Language ProcessingspaCyTransformersText ClassificationNamed Entity RecognitionTokenisationPyTorchData AnnotationModel Evaluation

What you'll do

Work on building text classification, extraction and conversational models alongside the core team
Apply Python, Natural Language Processing, spaCy, Transformers to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech/MCA/M.Sc (CS, Linguistics, AI) — 2026 freshers & final-year students welcome
Working knowledge of Python, Natural Language Processing, spaCy (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Raipur, Chhattisgarh

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team

About CoRover.ai

CoRover.ai operates in the artificial intelligence sector and has an active presence in Raipur. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…

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