LLM Internship

Springer Capital

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远程办公應屆畢業生/學生本科實習
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語言要求英語

職位描述

福利待遇

  • 員工表彰與獎勵

    工作中不涉及政治

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

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Birch Jenny

HR ManagerSpringer Capital

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發布於 06 March 2026

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