CTAF AI Secretariat Planning, Design, and Operations Intern

Please note that the deadline is based on Korean Standard Time Zone (KST, UTC+9)

INTRODUCTION TO GGGI

The Global Green Growth Institute (GGGI) is a treaty-based international, inter-governmental organization dedicated to supporting and promoting strong, inclusive and sustainable economic growth in developing countries and emerging economies. To learn more please visit about GGGI web page. 

The Global Green Growth Institute internship program provides a unique learning opportunity for students and recent graduates from diverse academic backgrounds. The program is designed for talented and motivated individuals skilled in areas relevant to GGGI’s operations. The program allows selected candidates to gain insight into the work of the Institute and provides assistance and training in various professional fields in a multicultural environment. We encourage qualified women and men, in particular, nationals of developing countries, with diverse professional, academic, and cultural backgrounds to apply. 

The Center for Thought Leadership and Innovation (CTLI) unit leads GGGI’s work on climate policy analysis and evidence-based impact assessment. To support its growing global program portfolio, CTLI is seeking a motivated and detail-oriented intern to assist in evaluating the effectiveness of climate policies. The internship will contribute to CTLI’s efforts to improve the quality and availability of data on climate innovative technology demonstration, impacts, inform national climate actions, and enhance knowledge sharing across countries and institutions. The Climate Technology Accelerator Fund (CTAF) is a new initiative that supports the acceleration of climate technology development, deployment, and partnership-building. CTAF aims to help identify, shape, and showcase practical climate technology solutions through strategic coordination, knowledge products, and global engagement.

The GGGI CTAF Secretariat is developing  the “GGGI CTAF AI Secretariat,” an AI technology-based online platform, to support the efficient operation of the CTAF fund launched this year, as well as the effective management of project proposals and implementation processes across GGGI member counties.

This role shapes how that platform actually works day to day: the intern will take part in discussions on the architecture of the CTAF AI Secretariat platform and support its management and operation once developed — translating CTAF’s real project and partnership needs into workflows the whole Secretariat, and ultimately GGGI member countries, will rely on. The selected candidate will gain an in-depth understanding of the overall operation of CTAF projects from CTAF supervisors and will work with supervisors to manage and operate a platform that can support the efficient management of the overall project cycle. 

CURRENT OPPORTUNITY

The intern will perform the following tasks, including but not limited to:

• Develop an in-depth understanding of the overall operation and management of CTAF projects with support from the supervisor.
• Support the improvement of operational efficiency for CTAF project proposals, participating institutions, project outputs, and implementation processes.
• Support database development and platform integration of CTAF project outputs and related information.
• Support configuration, structuring, and workflow design on no-code/low-code platforms (e.g., Retool, Bubble, or similar) integrated with LLM APIs (e.g., OpenAI, Anthropic Claude, Google Gemini).
• Support planning, workflow design, testing, and documentation for web-based data storage and management systems.
• Assist in operating, maintaining, and improving the CTAF AI Secretariat platform after development.
• Undertake other tasks assigned by the supervisor.

ELIGIBILITY                                     

Applicants to the GGGI internship program must at the time of application meet the following requirements:

• Be enrolled in a Bachelor’s (final year), Master’s or PhD program prior to internship assignment, or a recent graduate within the last 12 months.
• Be engaged or recently engaged in academic study in a field directly related to the Institute’s work.
• Possess an excellent command of English. 

QUALIFICATIONS

• Strong working ability with AI tools such as ChatGPT, Claude, and Gemini for data analysis, report writing, and workflow support.
• Enrolled in the final year of a Bachelor’s degree program or in a Master’s degree program prior to the internship assignment, or a recent graduate within the last 12 months.
• Academic background in electrical and electronic engineering, computer science, AI, or a related field, with programming experience in at least one language. Applicants from other academic backgrounds may also be considered if they demonstrate exceptional understanding and experience in programming and AI-based development.
• Basic ability to write and understand English.
• Strong sense of responsibility, commitment to work, and ability to work effectively with supervisors and external experts.

REQUIRED SKILLS AND EXPERIENCE

• Ability to plan, design, and test web-based data storage and management systems, including on no-code/low-code platforms (e.g., Retool, Bubble, or similar).
• Familiarity with configuring or working alongside LLM APIs (OpenAI, Anthropic Claude, Google Gemini) for operational or workflow automation.
• Experience in operating and maintaining web-based services.
• Ability to translate operational needs into practical platform workflows, function requirements, and user-oriented documentation.

Applicants with relevant experience are encouraged to submit a portfolio of previous work. If the work was conducted as part of a team, the applicant’s specific role should be clearly indicated.

PREFERRED QUALIFICATIONS

• Experience or capability in responding to data security-related issues.
• Previous experience in similar work, with the ability to deliver results within a short timeframe.
• Experience in managing and supporting the development of AI platforms through team-based collaboration.

WHAT YOU WILL GAIN

• Direct mentorship from Youngki Yoon, CTAF Head, working in close collaboration with the wider CTAF Secretariat team.
• Hands-on exposure to a live, donor-funded (Korea MSIT,— from proposal intake through project implementation across GGGI member countries.
• The opportunity to help design and build a first-of-its-kind AI-enabled operations platform at an international organization, with real ownership over discrete deliverables.
• A certificate of completion and letter of reference upon successful completion of the internship.
• Possible extension of up to an additional 3 months based on performance and CTAF’s operational needs.

SELECTION PROCESS

• Applications submitted after the deadline will not be considered.
• GGGI evaluates applications based on: eligibility requirements, relevance of academic study and work experience (if any); and the level of interest and motivation to contribute to development work.
• Due to high volume of applications, only shortlisted candidates will be contacted.

TEMRS AND CONDITIONS

Duration: The internship program is for at least three months and up to six months. Once selected, interns must begin your internship either prior to or within 12 months of graduation. 

Stipend: GGGI interns receive a monthly stipend of USD $500 per month (unless agreed to be funded by sponsoring institutions). All costs related to travel, insurance, accommodation, and living expenses must be borne by either the interns themselves or sponsoring institutions.  

Visa: GGGI will provide a supporting letter for visa. Interns will be responsible for obtaining and financing the necessary visas.  

Travel: Intern will arrange and finance their travel to the internship location.  

Medical Insurance: Interns must present proof of valid medical insurance to GGGI upon returning the signed internship contract.

Confidentiality: Interns must keep confidential any and all unpublished information obtained during the course of the internship and may not publish any documents based on such information.  

Academic Credit: Interns may get academic credit from their institution of higher education for the internship. Interns need to check with their university to confirm their academic credit policy for internships.  

Working Hours: interns are expected to work during normal working hours. Leave should be pre-approved by the Intern Manager, and the latter should inform the Office of HR accordingly.

Learning Outcomes: before completion of the internship, Intern Managers are expected to review the learning outcomes with the intern.

Certificate: provided upon successful completion of the internship, upon request.