Artificial Intelligence Internship

As a Junior AI Engineer/Intern at our organization, you will have the opportunity to support the AI development team in creating innovative solutions to enhance nonprofit efficiency. Your main focus will be on frontend development, user experience, and rapid prototyping using modern AI tools. In this role, your key responsibilities will include: - Delivering measurable Proof of Concept (PoC) components with daily progress commits - Providing user testing feedback implementation along with documented changes - Supporting UI/UX testing by creating detailed testing reports and providing iteration recommendations - Ensuring deployment readiness through comprehensive documentation and handoff materials You will also work with AI-powered development tools such as Replit, Windsurf, and Cursor for rapid application prototyping. Additionally, you will assist in the deployment processes on organizational servers and contribute to open-source component development. To be successful in this role, you should be currently pursuing or have recently completed a degree in Computer Science, AI, or a related field. Basic proficiency in JavaScript, Python, React, or similar programming languages is required. An interest in AI/ML applications, social impact technology, and good communication skills are essential. Preferred qualifications include experience with AI/ML projects, familiarity with AI-assisted development platforms, and previous internship or project experience in the nonprofit sector. As a Junior AI Engineer/Intern, you will have the opportunity to support the AI development team with a focus on data pipeline development, backend systems, and machine learning model implementation for nonprofit applications. Your key responsibilities will include: - Delivering functional synthetic data pipeline components with performance metrics - Implementing and documenting machine learning model training and validation processes - Building compliance and cybersecurity features with security testing reports - Developing and maintaining API documentation for partner application integrations You will also have the chance to work on open-source AI model integration, inference engine integration and optimization, data processing and analytics pipeline development, ML/NLP implementation, and security framework implementation. Required qualifications for this role include a degree in Computer Science, Data Science, or related field, basic understanding of machine learning and data processing, proficiency in Python, and familiarity with ML libraries. An interest in data ethics, responsible AI development, and the ability to work independently are essential. Preferred qualifications for this position include experience with natural language processing or computer vision projects, familiarity with open-source AI models and frameworks, understanding of data privacy and compliance requirements, previous experience with nonprofit or social impact projects, knowledge of cybersecurity fundamentals, experience with inference APIs and model deployment, and basic server administration or DevOps knowledge.,