Internship: Quality Testing & Feedback for Humanitarian Safety & Security Data Pipeline Intern

Internship:
Quality Testing & Feedback for Humanitarian Safety & Security Data Pipeline Intern

Location:

The Hague, Netherlands

Required:

Legally authorized to undertake an internship in the Netherlands for the full duration.

Founded in 2011, the International NGO Safety Organization (INSO) is an international NGO that supports humanitarian aid workers byestablishingsafety coordination platforms in insecure contexts. INSO provides registered NGOs with a range of free services, including real-time incident tracking, analytical reports, safety-related data and mapping, crisis management support, staff orientations, and training. INSO provides daily support to more than 1,500 NGOsoperatingin 24 of the world’s most insecure countries.

INSO is registered in the Netherlands, with its headquarterslocatedin The Hague, a city renowned for its international focus on peace and justice.

We are a small, agile team embedded in the INSO HQ Data, Technology and Learning Department, delivering open-source data for safety and security monitoring, and situational awareness analysis for humanitarian actors in conflict-affected contexts. Our work sits at the intersection of open-source data, emerging AI tooling, and human judgment.

The OSDCeMonitorpipeline processes real-time online information on security, safety, and humanitarian incidents in hard-to-reach, data-poor contexts, using NLP/AI models with a human-in-the-loop quality gate. This internship sits inside that quality function.

As a Quality Testing & Feedback Intern, you will test and review outputs from our NLP/AI models, checking their accuracy and identifying areas for improvement. You will document your findings and help track data quality issues across testing cycles.

Your contributions will have a direct impact on humanitarian operations, helping improve how security incident data is processed and supporting organisations in making informed safety and access decisions in challenging contexts.

• Review processed text and data to identify inaccuracies and distinguish recurring issues from one-off errors.
• Document identified issues clearly, including the type of error, affected model, possible cause, and potential impact.
• Check whether errors may affect the interpretation of security information, including terminology, actors, or contextual references.
• Support testing and improvement of quality-check methods, such as sampling and verification procedures.
• Work with the Head of OSDC, OSDC specialists, Methodology Specialist, software engineers, and relevant INSO country teams to discuss findings and improve testing approaches.

• How data and technology support humanitarian safety and operations.
• How to review, validate and improve security, safety and humanitarian incident data.
• How AI and NLP tools can be applied in humanitarian analysis contexts.
• How security information contributes to humanitarian decision-making and access.
• How to work with humanitarian, data, and technology specialists in an international environment.
• Practical experience contributing to work that supports safer humanitarian operations.

• Currently studying or recently graduated in a relevant field such as data, international relations, conflict studies, humanitarian affairs or a related discipline.
• Strong analytical thinking and attention to detail.
• Curiosity about conflicts, humanitarian crises and international affairs.
• Good written and spoken English.
• Ability to communicate findings clearly and constructively.
• A genuine willingness to learn and take initiative.
• Basic familiarity with Excel and other Microsoft Office tools.
• Previous humanitarian, research, or internship experience is an advantage, but not essential.
• Interest in AI, data or humanitarian security is welcome; technical expertise is not required.
• Currently enrolled in a recognised university or university of applied sciences, or recently graduated, as applicable to the internship arrangement.
• The internship must be compatible with your academic programme and…