[Internship] Arabic NLP, LLM, AI Engineer

Company Description

Aralects is developing a gamified, self-paced app focused on teaching Arabic dialects like Egyptian, Lebanese, and Emirati to enhance real-world conversational skills. Personalized learning pathways powered by AI aim to make language learning more engaging and accessible. The company is committed to creating a culturally immersive platform for mastering Arabic dialects, catering to a wide audience for professional growth or personal interest.

Role Description

This is a FULL-TIME remote (or hybrid) role for an NLP Engineer Summer Intern at Aralects (3 months, extendable), and will give the person the opportunity to be work alongside field experts, add interesting work experience to their CV, and be part of an amazing team that is committed to creating a killer product!

We are seeking highly motivated people with the desire to expand their skillsets in any of the following topics: NLP, Deep Learning, LLM fine-tuning, RAG, speech processing, and prompt engineering.

Possible Responsibilities

• Develop processing tools for Arabic dialects (morphological analyzers/generators, alignment, automatic annotation, speech-to-text, text-to-speech, etc.)
• Conduct experiments related to fine-tuning LLMs for educational applications.
• Conduct some research to determine best practices and be aware of the state-of-the-art.
• Work with the software development team to integrate that code into the Aralects codebase.

Qualifications

• 2+ years of experience of Python programming experience
• 1+ years of experience of PyTorch experience (projects, etc.)
• Preferably 1+ years of experience of Arabic NLP experience.
• Has some research experience (familiarity with deep learning and/or Arabic NLP research).
• Is currently working towards a Bachelor's or Master's degree in Computational Linguistics, Machine Learning, AI Engineering, Computer Science, or any related field.

Terms and Compensation

As this is an internship position at an early-stage startup, the compensation offered will be modest and primarily intended to cover basic expenses. While we may not yet be able to offer a competitive salary, we are committed to providing a rich learning environment, meaningful responsibilities, and mentorship that can contribute significantly to your professional growth. Any increase in compensation or transition to a paid role will be evaluated based on performance and funding availability.

Ready to build, learn, and grow with us? Apply now to be part of a forward-thinking team that values innovation and personal development.