About The Position

The Evaluation Intern will support the Independent Evaluation Service (IES) in identifying, testing, and documenting responsible applications of artificial intelligence across the evaluation cycle. Under the supervision of the Evaluation Specialist, the intern will develop and pilot AI-supported approaches for verifiable tasks such as document reviews, structured data extraction, preliminary coding, source-based summaries, and dissemination of finalized evaluation products. The intern will also contribute 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 must be validated against source material, recorded as required, and reviewed for bias, omission, and misrepresentation. Non-public information may only be processed through approved UN Women tools and in line with applicable data-protection, confidentiality, and informed-consent requirements. The intern will also help test responsible AI support for evaluation communication and dissemination, including accessible visual and digital products based on finalized findings. Learning objectives include developing understanding of AI in evaluation and data retrieval, gender-responsive evaluation, and data analytics tools for evaluation. The position is based in New York, USA, and lasts six months.

Requirements

  • Meet one of the following eligibility conditions: be enrolled in a graduate programme; be enrolled in the final academic year of a first university degree programme at least at Bachelor's level; have graduated from a university degree programme and commence the internship within two years of graduation if selected; or be enrolled in a postgraduate professional traineeship that is part of a degree programme and undertake the internship as part of its requirements.
  • University studies in a related field; experience with data analytics is required.
  • Excellent written and oral communication skills in English.
  • Demonstrated ability to use artificial intelligence to develop creative solutions and automate processes.
  • Experience developing and using data analytics tools to analyse data.
  • Exposure to evaluation processes, evaluation methodology, and research methods.
  • Demonstrate due professional care and ability to produce timely, quality outputs.
  • Ability to develop creative solutions.
  • Energetic self-starter with multitasking abilities and discipline with deadlines.
  • Strong consultative communication skills.
  • Demonstrated ability to use Microsoft Office suite and Copilot.

Nice To Haves

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

Responsibilities

  • Identify requirements for automated evaluation tasks, map AI use cases, develop reusable prompts by evaluation phase, and identify risks associated with proposed use cases.
  • Help identify data sources in internal systems and autonomous AI-supported evaluation tasks that can accelerate data extraction and analysis for desk reviews.
  • Identify and test AI-assisted qualitative coding, including prompts derived from a human-approved evaluation matrix.
  • Support evaluation and synthesis through design analytics, trend analysis, and AI-supported tests to complete evaluation work and improve process efficiency.
  • Design cases to assess gender bias in AI outputs and develop a gender-responsive AI checklist.
  • Support responsible development and testing of the GATE evaluation agent for external users.
  • Explore and test AI-supported approaches for producing accessible, visually engaging evaluation communications, including infographics, data visualizations, presentation slides, visual summaries, and digital knowledge products based on finalized evaluation findings.

Benefits

  • Interns without financial support from other sources, such as universities or other institutions, will receive a stipend from UN Women to partially subsidize basic living costs for the internship duration.
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