Tech Stack

Description

You will use your computer science expertise to train large language models by challenging them on topics like algorithm optimization, model training, and network protocols. Your work will document failure modes to improve model reasoning, helping democratize education and streamline software development.

Requirements

• Master's or PhD in computer science or closely related field
• Expertise in algorithms, data structures, ML, AI, software engineering, networks, cybersecurity, etc.
• Peer-reviewed publications, software dev experience, or ML projects preferred
• Clear metacognitive communication ('showing your work')
• Fluent in French

Responsibilities

• Challenge advanced language models on algorithm optimization, model training, network protocols, etc.
• Document failure modes to harden model reasoning
• Verify factual accuracy and logical soundness of model responses
• Capture reproducible error traces
• Suggest improvements to prompt engineering and evaluation metrics