If you are seeking your first opportunity in AI or machine learning, a remote internship can provide hands-on experience, exposure to real engineering challenges, portfolio development, and team learning. This article lists 13 remote AI Engineer internships and research opportunities in India, the United States, and the United Kingdom, spanning AI engineering, machine learning, research, and related roles.
Some positions are suitable for students and recent graduates, while others may require specialized research skills or specific work authorization. Please note that remote roles do not always allow applicants to work from any country.
Remote AI Engineer Internships
Remote Internships in India
These five openings include AI product engineering, machine learning, and AI research. Consider these roles if you are studying or beginning your career in India:
- VEGAH – AI Engineer Intern
- ThinkNovaa – ML Intern
- UM IT – ML Intern
- Lexsi Labs – AI Research Intern
- MediNex – AI Intern
A Quick Tip Before You Apply
Securing an internship is only the first step. Be prepared to discuss your projects, explain your technical decisions, and answer AI or ML questions confidently. My book, Cracking Your First AI/ML Interview, can help you prepare for this stage.
Remote Internships in the US
These opportunities include applied AI development and research. Please review student eligibility and location requirements:
- EQT Corporation – AI Intern
- Chainlink Labs – Research Intern
- OnePay – AI Research Intern
- Object – ML Engineer Intern
- M3 USA – AI Engineer Intern
Remote Internships in the UK
These three roles focus on AI research and applied AI automation. Two offer broader international eligibility, but you should verify the terms before applying:
- Cohere – Research Intern
- Intuition Machines – AI/ML Research Fellowship
- Hartford Advisers – AI Intern
The Takeaway
These 13 listings provide various entry points into AI engineering and research, ranging from applied projects to foundational model research.
Begin with roles that align with your current skills, review the requirements on the official application page, and submit an application that highlights your practical experience.
You do not need to know everything before applying. Demonstrate your ability to learn, solve problems, and create meaningful work.
Thank you for reading this article on remote AI Engineer internships for students and recent graduates. For more insights on AI and machine learning, please follow me on Instagram.
