LLM Internship
Springer Capital
Description
We are looking for enthusiastic LLM Interns to join our team remotely for a 3-month internship. This role is ideal for students or graduates interested in AI, Natural Language Processing (NLP), and Large Language Models (LLMs). You will gain hands-on experience working with cutting-edge AI tools, prompt engineering, and model fine-tuning. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.
Responsibilities
· Research and experiment with LLMs, NLP techniques, and AI frameworks.
· Design, test, and optimize prompts and workflows for different use cases.
· Assist in fine-tuning or integrating LLMs for internal projects.
· Evaluate model outputs and improve accuracy, efficiency, and reliability.
· Collaborate with developers, data scientists, and product managers to implement AI-driven features.
· Document experiments, results, and best practices.
Requirements
· Strong interest in Artificial Intelligence, NLP, and Machine Learning.
· Familiarity with Python and ML libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
· Basic understanding of LLM concepts such as embeddings, fine-tuning, and inference.
· Knowledge of APIs (OpenAI, Anthropic, Hugging Face, etc.) is a plus.
· Good analytical and problem-solving skills.
· Ability to work independently in a remote environment.
What You’ll Gain
· Practical exposure to state-of-the-art AI tools and LLMs.
· Mentorship from AI and software professionals.
· Completion Certificate upon successful completion.
· Letter of Recommendation based on performance.
· Experience to showcase in research projects, academic work, or future AI roles.
Internship Details
· Duration: 3 months
· Location: Remote (Work from Home)
· Stipend: Unpaid
· Perks: Completion Certificate + Letter of Recommendation