AI Internship

About the Company Jeeai is offering a practical learning opportunity for motivated candidates to gain exposure to Artificial Intelligence and Machine Learning. The internship is designed for individuals who want to explore how AI tools, intelligent systems, and modern coding workflows can be applied to real-world projects in a collaborative remote environment. Responsibilities • Assist with research, experimentation, and implementation tasks related to Artificial Intelligence and Machine Learning. • Use AI-powered tools responsibly to support brainstorming, research, prototyping, documentation, and problem-solving. • Contribute to rapid prototyping and development using modern AI-assisted and vibe-coding workflows. • Support data preparation, model training, testing, and performance evaluation under the guidance of experienced team members. • Document approaches, experiments, findings, and technical learnings clearly. • Collaborate with the team to troubleshoot issues and contribute to project deliverables. Requirements • Strong interest in Artificial Intelligence and Machine Learning. • Good practical skills in using AI tools such as ChatGPT for research, ideation, coding assistance, analysis, and productivity. • Strong ability in vibe coding: using natural-language prompts and AI-assisted development workflows to build, test, refine, and debug functional solutions. • Basic understanding of programming, data handling, algorithms, or analytical problem-solving. • Ability to review, validate, and improve AI-generated outputs rather than relying on them without verification. • Willingness to learn new concepts and work through practical technical challenges. • Clear communication, curiosity, attention to detail, and the ability to work responsibly in a remote environment. • Prior professional experience is not required; academic projects, personal projects, or self-directed learning in a related area will be helpful. This is a six-month, unpaid, part-time remote internship with jeeai requiring 15–20 hours per week. The intern will gain hands-on exposure to AI and ML workflows, AI productivity tools, and modern software development practices while working with a distributed team and developing practical technical and professional skills.