UN Women Evaluation Intern, New York, USA (6 months)
Organizational Context
UN Women is dedicated to gender equality and the empowerment of women. The Independent Evaluation Service (IES) within UN Women conducts evaluations to enhance accountability and inform decision-making on gender equality. This internship supports IES in exploring and documenting the responsible application of artificial intelligence (AI) across the evaluation cycle, contributing to innovative evaluation methodologies.
Job Purpose
This internship aims to support the Independent Evaluation Service (IES) in identifying, testing, and documenting the responsible application of artificial intelligence (AI) throughout the evaluation cycle. The intern will develop and pilot AI-supported approaches for tasks such as document review, data extraction, preliminary coding, and generating summaries. Additionally, the role involves supporting the creation of reusable prompts, validation protocols, gender bias checks, and learning materials, all while adhering to UN Women's guidance on responsible AI use in evaluations. The purpose is to enhance organizational accountability and provide evidence-based information for decision-making.
Responsibilities
Support the development and testing of AI-assisted techniques for conducting evaluations. Identify requirements for automating evaluation tasks, including mapping AI use cases and developing reusable prompts. Assist in identifying data sources and autonomous evaluation tasks using AI to expedite data extraction and analysis. Aid in testing AI-assisted qualitative coding and developing gender-responsive AI checklists. Support evaluation synthesis through design analytics and trend analysis. Explore and test AI-supported approaches for creating accessible and engaging evaluation communication products, such as infographics and data visualizations, based on finalized findings.
Work Experience
No specific work experience is required for this internship. However, practical experience using generative AI tools, including prompt development, testing, and validation of AI outputs, is preferred. Experience with data analytics is required.
Skills
Artificial Intelligence (AI) utilization for process automation and creative solutions, Data analytics tools, Evaluation methodology, Research methods, Due professional care, Timely and quality output production, Creative problem-solving, Consultative communication, Microsoft Office Suite and Co-pilot.