UN Women Evaluation Intern, New York, USA: 6-Month Internship in AI and Evaluation

UN Women Evaluation Intern, New York, USA: 6-Month Internship in AI and Evaluation

UN Women is recruiting an Evaluation Intern in New York, United States, for a six-month internship focused on evaluation, artificial intelligence, data analytics and gender-responsive research. The opportunity is suitable for students and recent graduates interested in international development, evaluation, research, data analysis and the responsible use of AI.

The position is based in New York and is offered as a full-time internship with an initial contract duration of six months. The application deadline is 13 November 2026 at 10:53 pm.

About the UN Women Evaluation Internship

The internship is located within the Independent Evaluation Service (IES), which forms part of UN Women’s Independent Evaluation, Audit, and Investigations Services.

IES evaluates UN Women’s work to strengthen organisational accountability, support evidence-based decision-making and promote institutional learning around gender equality and women’s empowerment.

The selected intern will work under the supervision of an Evaluation Specialist and will support the responsible application of artificial intelligence in the evaluation cycle.

This includes testing and documenting AI-supported approaches for tasks such as document review, structured data extraction, preliminary qualitative coding, source-based summaries and dissemination of completed evaluation findings.

Key Responsibilities

The UN Women Evaluation Intern will contribute to the development and testing of AI-supported evaluation techniques.

Responsibilities may include:

  • Mapping potential AI use cases across different stages of the evaluation process.
  • Developing reusable prompts for evaluation activities.
  • Identifying risks associated with the use of AI in evaluation.
  • Supporting the identification of data sources from internal systems.
  • Testing AI-assisted qualitative coding using human-approved evaluation matrices.
  • Supporting data analysis, trend analysis and synthesis of evaluation findings.
  • Developing approaches to identify and assess gender bias in AI-generated outputs.
  • Contributing to a gender-responsive AI checklist.
  • Testing AI-supported approaches for communicating evaluation findings.
  • Supporting the development of infographics, presentations, data visualisations and other digital knowledge products.

The intern may also support the responsible development and testing of the GATE evaluation agent for external users.

Learning Opportunities

This internship offers an opportunity to develop practical experience at the intersection of AI, evaluation, gender equality and international development.

The intern is expected to strengthen their understanding of how AI technologies can support evaluation and data retrieval while also developing knowledge of gender-responsive evaluation methods and data analytics.

The role could be particularly valuable for students interested in careers involving monitoring and evaluation, international development, public policy, research, data analytics, AI governance or gender equality.

Eligibility and Qualifications

Applicants must meet UN Women’s internship eligibility requirements.

Candidates must satisfy at least one of the following conditions:

  • Be enrolled in a graduate programme at the time of application.
  • Be enrolled in the final academic year of a first university degree at Bachelor’s level or equivalent.
  • Have graduated from a university degree programme and commence the internship within two years of graduation if selected.
  • Be enrolled in a postgraduate professional traineeship that forms part of a degree programme.

Applicants should have university-level studies in a relevant field, with experience in data analytics required.

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

Strong English communication skills are required. Candidates should also be comfortable using Microsoft Office and Copilot.

Skills and Competencies

UN Women is seeking candidates who demonstrate integrity, professionalism and respect for diversity.

Important competencies include gender awareness, accountability, creative problem-solving, effective communication, inclusive collaboration and stakeholder engagement.

The successful candidate should also be able to produce quality work within deadlines, manage multiple tasks and demonstrate strong consultative communication skills.

Internship Stipend and Requirements

Interns who do not receive financial support from another source, such as a university or other institution, will receive a stipend from UN Women to partially subsidise basic living costs during the internship.

Selected candidates will need to provide evidence of valid health insurance at the internship duty station, proof of university enrolment or degree completion, a passport or national ID, and a valid visa where applicable.

Application Deadline

Position: UN Women Evaluation Intern
Location: New York, United States
Contract: Six months
Schedule: Full time
Grade: T1
Job function: Audit and Evaluation
Vacancy category: Internship
Closing date: 13 November 2026 at 10:53 pm

Applicants should ensure that all sections of the UN Women application form are fully completed, including education and employment history, as incomplete applications may be disqualified.

This internship presents an opportunity for emerging professionals to gain hands-on experience applying artificial intelligence and data analytics to evaluation work within the United Nations system, while contributing to gender-responsive organisational learning and accountability.

APPLY ON THE OFFICIAL WEBSITE

Patience
Patience

Patience is a career and opportunities writer with extensive experience researching global trainee programmes, internships, and scholarships. She specializes in simplifying application processes and providing verified information for early career professionals. Connect on LinkedIn.

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