AI Data & Curriculum Specialist (Intern)

Role Overview
We are looking for a sharp, analytically-minded AI Data & Curriculum Intern for a focused 3-month sprint to help build the foundational datasets training our next-generation model: Coaade Code 3.0.
Coaade Code 3.0 is built specifically for advanced coding and deep logical reasoning. We aren't looking for formulaic thinkers. We need an individual who thinks outside the box, possesses a highly unique point of view, and can challenge conventional programming logic to generate rare, high-value problem sets.
Compensation & Growth Paths
A financial stipend will be awarded upon successful completion of the 3-month internship.
Key Responsibilities
Instruction Design: Draft high-quality, creative, and challenging coding and reasoning prompt-response pairs optimized to advance the algorithmic capabilities of Coaade Code 3.0.
Taxonomy & Categorization: Develop and refine multi-tiered categorization matrices (tagging coding data by complexity, language, architecture style, and logic constraints).
Data Diversity Assurance: Implement systematic filtering to prevent dataset duplication, ensuring a highly diverse and expansive code training distribution.
Adversarial Red-Teaming: Leverage your unique perspective to brainstorm edge cases, counterfactual syntax logic, and rare coding scenarios to stress-test the model's boundaries.
Required Skills & Qualifications
The "Out-of-the-Box" Mindset: A demonstrated ability to approach logic puzzles and coding problems from unusual, clever angles.
Educational Background: Background or active degree in Computer Science, Data Science, Software Engineering, Mathematics, Linguistics, or Philosophy.
Coding & Logical Skills: Strong foundational knowledge of programming structures, logical syntax, and algorithmic flow.
Familiarity with LLMs: Regular experience using and prompting large language models, with a strong intuition for what makes a model's code generation "good" vs "bad".
What We Provide
Comprehensive Training Provided: We provide deep-dive instruction on advanced data curation methodologies, dataset engineering, and alignment frameworks.
Full Resources Provided: Access to required sandbox environments, developer tools, and computing infrastructure needed to execute your tasks flawlessly.

Work arrangement
No