Software Intern

Company Description VideoDubber.ai is a technology company led by a team of PhDs focused on accelerating global AI adoption for video generation and translation. The company’s platform supports 150+ languages and offers customized voices, voice cloning, and face swap capabilities. VideoDubber.ai delivers complete end-to-end AI services with an intuitive user interface designed for accessibility and ease of use. Team members collaborate in a fast-paced, innovation-driven environment where cutting-edge AI research is translated into practical, impactful products for users worldwide.
Role Description This remote Software Intern role offers hands-on experience contributing to VideoDubber.ai’s AI-powered video platform. Day-to-day responsibilities include assisting with software development tasks, implementing and testing new features, and supporting integration with backend services and databases. The intern will collaborate with senior engineers to improve software design, troubleshoot issues, and participate in code reviews and documentation. This internship role is designed to help emerging technologists build practical skills while contributing to real-world AI applications.
Qualifications
Strong foundation in Programming and Software Development, with experience in at least one modern programming language.
Understanding of Software Design principles, including modularity, scalability, and maintainability.
Basic knowledge of Databases and data modeling, with the ability to work with queries and data storage solutions.
Familiarity with Testing practices, such as writing unit tests, debugging, and validating software functionality.
Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field.
Ability to work independently in a remote setting while communicating effectively with a distributed team.
Interest in AI, machine learning, or multimedia technologies is highly beneficial.
Willingness to learn, adapt to new tools and frameworks, and follow inclusive, collaborative working practices.

Work arrangement
Yes