Project Overview
Project Description
Generation is seeking support to develop an integrated, automated, AI-powered curriculum development workflow that unifies the multiple AI tools currently used in its design process.
Generation’s teams work with a wide range of AI solutions, including custom GPTs, SME-trained GPTs, deep research prompting, microlearning generation tools (e.g., Pictory, HeyGen), AI code-generation platforms, an AI role-play coach, and AI-generated podcasts. While these tools are individually effective, they operate in isolated and largely manual workflows, requiring significant effort and time from curriculum designers.
This project aims to transform this ecosystem into a single, automated system. The Fellow would:
- Integrate Generation’s existing AI tools into a coherent backend workflow triggered programmatically.
- Build an end-to-end automation pipeline capable of generating draft curriculum assets (e.g., scope and sequence, assessment frameworks and assessments, role-play scripts, session guides, practice activities, and final-draft audio and video content).
- Design a simple, low-code, web-based interface enabling curriculum designers to input a role or skills profile and generate all these assets with a single click.
- Ensure future scalability by maintaining a modular architecture that allows new AI tools and capabilities to be added easily.
More specifically, the Fellow would be responsible for:
- Mapping Generation’s current AI tools and identifying integration points via APIs or workflow frameworks.
- Developing the backend engine that connects and orchestrates these solutions.
- Creating a user-friendly, low-code front-end that non-technical staff can operate independently.
- (If time permits) Documenting the system architecture and providing a roadmap for future enhancements and maintenance.
Impact
This project will strengthen Generation’s ability to produce timely, relevant training for job seekers, enhancing learner outcomes and expanding equitable access to employment opportunities. This project is expected to generate meaningful social benefits, including faster curriculum development cycles to match rapidly changing employer needs, allowing curriculum designs more time to focus on higher-value pedagogical design and innovation, and benefiting learners through more accurate and up-to-date training. Environmental benefits include supporting training for rapidly developing green jobs and providing sustainability-focused curricula, extending its impact into environmental skill-building.
Eligibility Criteria
Skills / Experience:
- Required:
- Back- and front-end programming
- Workflow integration: ability to connect multiple AI tools into a cohesive, automated backend system
- Web development / low-code interface design
- Experience with AI and LLMs: Comfortable working with APIs, GPT-based systems, automation frameworks, and AI tool orchestration.
- Analytical and problem-solving skills to understand complex manual workflows and translate them into scalable automated processes.
- Desired:
- Technical writing and documentation
- Understanding of systems architecture and documentation
- Experience with low-code or no-code platforms
- Interest in education, employability, or workforce development
Discipline:
- Software Engineering or Computer Science
Preferred Fellow Local Experience (all projects can be completed remotely):
- N/A
Preferred Timezone (when the Fellow should be available for meetings):
- Compatibility with Central European Time (UTC+1) or Eastern Time (UTC-5)
