Description

You will build AI prototypes to demonstrate practical use cases and transform these technical journeys into educational content.

Responsibilities

• Build prototypes using no-code, low-code, or code-based solutions to demonstrate AI task enhancement.
• Implement use cases independently to test feasibility and document the end-to-end process.
• Document technical workflows, lessons learned, and key insights using screenshots and written explanations.
• Record the progression from naive approaches to reliable, usable processes to form the basis of course content.
• Collaborate with product managers and other engineers to propose learning objectives and use cases.

Required Skills

• 5+ years of experience building prototypes, such as software applications for work or personal use.
• Proficiency in Python, JavaScript, and VBA.
• Experience using Python in Google Colab and Microsoft Visual Studio Code.
• Ability to use App Script (JavaScript) for Google Docs and Google Sheets.
• Experience with Hugging Face Transformers Library, Gradio, and Streamlit.
• Demonstrated interest in machine learning via coursework, formal education, or professional experience.
• Demonstrated interest in education or teaching through content creation or instructional experience.
• Strong English reading and writing skills.
• Basic English speaking skills.

Preferred Skills

• Formal education in machine learning.
• Experience creating teaching materials including text, code exercises, slides, or video scripts.
• Experience building full-stack applications or working with vector databases.
• Experience setting up and hosting models (LLMs) on local servers or in the cloud via API calls.
• Experience with model training and fine-tuning.

Key Skills

Education

Any Graduate