Getting started in Data Science and AI Engineering is less about mastering PyTorch or attention mechanisms and more about landing your first real-world role. If you’re a student or just starting your career in AI/ML, internships are the best way in. To make your search easier, I’ve put together a list of top remote AI/ML internships for freshers you can apply to this week.
Remote AI/ML Internships
Below is a list of leading companies currently offering remote or flexible internships worldwide for AI researchers, ML engineers, and applied scientists.
- Lexsi Labs- AI Research Intern 🇮🇳
- Sony Research – LLM Research Intern 🇮🇳
- Solvative – AI/ML Intern 🇮🇳
- C1 – AI/ML Intern 🇺🇸
- GitHub – Applied Science Intern 🇺🇸
- OnePay – AI Research Intern 🇺🇸
- Parexel – AI Intern 🇬🇧
- Intel – AI Research Intern 🇬🇧
- Convergent – AI Automation Intern 🇬🇧
- GPTZero – ML Intern 🇨🇦
- Thomson Reuters – Applied Research Intern 🇨🇦
- Siemens – AI Engineer Intern 🇨🇦
Closing Thoughts
After reviewing many entry-level resumes, I’ve noticed that the most common mistake is depending only on academic coursework. A degree is just the starting point; what really helps you get an interview is showing what you’ve actually built or done.
Don’t just apply and wait for a response. Think of your GitHub profile as your real resume. For example, if you’re interested in the Sony Research LLM role, go beyond listing NLP as a skill, create a small app that fine-tunes a model on a unique dataset and share it on Hugging Face Spaces. If you’re aiming for the GitHub Applied Science role, show that you can write clean, production-ready Python code with good version control and clear documentation.
If you found this article helpful, you can follow me on Instagram for daily AI tips and practical resources. You may also be interested in my latest book, Hands-On GenAI, LLMs & AI Agents, a step-by-step guide to prepare you for careers in today’s AI industry.
