UN Women Evaluation Intern, New York, USA (6 months)

Background:

UN Women, grounded in the vision of equality enshrined in the Charter of the United Nations, works for the elimination of discrimination against women and girls; the empowerment of women; and the achievement of equality between women and men as partners and beneficiaries of development, human rights, humanitarian action and peace and security.

The Independent Evaluation Service (IES) of the Independent Evaluation, Audit, and Investigations Services (IEAIS) evaluates the work of UN women to enhance organizational accountability, provide evidence-based information for decision-making and to contribute to learning on gender equality and the empowerment of women.  It will undertake various corporate and IES-led evaluations as part of its corporate evaluation plan.

 Under the supervision of the Evaluation Specialist, the evaluation intern will support IES in identifying, testing and documenting responsible application of artificial intelligence (AI) across the evaluation cycle. The intern will develop and pilot AI-supported approaches for verifiable tasks such as document reviews, structured data extraction, preliminary coding support, summaries based on sources, and dissemination of products from finalized evaluations. The intern will also support the development of reusable prompts, validation protocols, checks for gender bias, and practical learning materials.

All work will follow the IES Guidance Note on Responsible Use of Artificial Intelligence in Evaluation. AI-supported outputs will be validated against source material, recorded as required and reviewed for bias, omission and misrepresentation. Non-public information will only be processed through approved UN Women tools and in accordance with applicable data-protection, confidentiality and informed-consent requirements.

Description of Responsibilities

1. Support development of AI supported techniques to conduct evaluations

• Support IES in identifying the requirements for building automated evaluation tasks undertaken in IES lead evaluations, including mapping AI use cases, develop possible reusable prompts by evaluation phase, and identifying key risks associated with use cases. 


• Assist IES with identification of data sources from internal systems. Assist with the identification of autonomous evaluation tasks using AI to speed up extraction and analysis of data for desk review. 


• Assist IES with identification and testing of AI-assisted qualitative coding, including coding prompts derived from human approved evaluation matrix. 


• Support evaluation and synthesis work through design analytics, trend analysis and AI supported approaches for performing tests to support completion of evaluation work and increase efficiency of processes.


• Assist in designing cases to assess gender biases in AI outputs. Develop a gender-responsive AI checklist. 

2. Support development of AI supported techniques to support evaluation dissemination and use

• Support responsible development and testing of GATE evaluation agent for external users.


• Explore and test AI-supported approaches to develop accessible, visually engaging evaluation communication products, including infographics, data visualizations, presentation slides, visual summaries and digital knowledge products based on finalized evaluation findings. 

Learning objectives: 

• Develop an understanding of the use of AI-technology in supporting evaluation and  evaluation data retrieval activities. 


• Strengthen understanding of gender-responsive evaluation conduct and uses.


• Strengthen use of data analytic tools for evaluation.

Competencies :

Core Values:

• Integrity;


• Professionalism;


• Respect for Diversity.

Core Competencies:

• Awareness and Sensitivity Regarding Gender Issues;


• Accountability;


• Creative Problem Solving;


• Effective Communication;


• Inclusive Collaboration;


• Stakeholder Engagement;


• Leading by Example.

Please visit this link for more information on UN Women’s Values and Competencies Framework: 

Functional Competencies:

• Demonstrated ability to utilize Artificial Intelligence to develop creative solutions and automate processes. 


• Experience in developing and using data analytics tools to analyse date. 


• Exposure to understanding of evaluation processes, evaluation methodology, and research methods. 


• Due professional care. 


• Ability to produce timely and quality outputs


• Ability to develop creative solutions.


• Energetic self-starter with multi-tasking abilities and discipline with deadlines.


• Strong consultative communication skills.


• Demonstrated ability to use Microsoft office suite and Co-pilot

Qualifications

Education:

• University studies in any related field, experience with data analytics is required. 


• Practical experience using generative AI tools, including prompt development, testing and validation of AI outputs is preferred.


• Meet one of the following: 

1. Be enrolled in a graduate school programme (second university degree or equivalent, or higher); 


2. Be enrolled in the final academic year of a first university degree programme (minimum Bachelor's level or equivalent); 


3. Have graduated with a university degree and, if selected, must commence the internship within a two-year period of graduation; or 


4. Be enrolled in a postgraduate professional traineeship program which is part of a degree programme and undertake the internship as part of the program requirements. 

Language:

Excellent communication skills (written and oral) in English are required

Renumeration: 

Interns who are not in receipt of financial support from other sources such as universities or other institutions will receive a stipend from UN Women to partially subsidize their basic living costs for the duration of the internship.

Application Information: 

• All applicants must submit a completed application.Due to the high volume of applications received, UN Women can ONLY contact successful candidates.


• The successful candidate will be required to provide proof of enrollment in a valid health insurance plan at the duty station of the internship, proof of school enrollment or degree, a scanned copy of their passport/national ID and a copy of a valid visa (as applicable).  

Statements :

In July 2010, the United Nations General Assembly created UN Women, the United Nations Entity for Gender Equality and the Empowerment of Women. The creation of UN Women came about as part of the UN reform agenda, bringing together resources and mandates for greater impact. It merges and builds on the important work of four previously distinct parts of the UN system (DAW, OSAGI, INSTRAW and UNIFEM), which focused exclusively on gender equality and women's empowerment.

Diversity and inclusion:

At UN Women, we are committed to creating a diverse and inclusive environment of mutual respect. UN Women recruits, employs, trains, compensates, and promotes regardless of race, religion, color, sex, gender identity, sexual orientation, age, ability, national origin, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, competence, integrity and organizational need.

If you need any reasonable accommodation to support your participation in the recruitment and selection process, please include this information in your application.

UN Women has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and UN Women, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination. All selected candidates will be expected to adhere to UN Women’s policies and procedures and the standards of conduct expected of UN Women personnel and will therefore undergo rigorous reference and background checks. (Background checks will include the verification of academic credential(s) and employment history. Selected candidates may be required to provide additional information to conduct a background check.)

Note: Applicants must ensure that all sections of the application form, including the sections on education and employment history, are completed. If all sections are not completed the application may be disqualified from the recruitment and selection process.