LLM Internship
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Job summary
This role is ideal for students or graduates interested in AI, Natural Language Processing, and Large Language Models. You will gain hands-on experience working with cutting-edge AI tools, prompt engineering, and model fine-tuning. Interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.
Min Qualification:
High School (S.S.C.E)
Experience Level:
Internship & Graduate
Experience Length:
No Experience/Less than 1 year
Language Requirement:
English
Work Type:
Internship & Volunteer
Working Hours:
Flexible Hours
Applicant Location:
Remote
Job descriptions & requirements
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.
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