NLP Quality Testing Intern — Humanitarian Safety Data

Ngosafety; Den Haag; Hybrid; EUR 5,000 - 7,300; Part time

Benefits offered by this job

Paid internship

Job summary

INSO in The Hague, Netherlands, is offering an internship in Quality Testing & Feedback for their Open-Source Data Collection (OSDC) team. You will test NLP/AI outputs, document issues, and track data quality across cycles, contributing to safer humanitarian data handling.

The role emphasizes learning, open-source data practices, and collaboration with engineers and country teams, with a focus on improving accuracy and interpretability of security-related information.

Qualifications

• Currently studying or recently graduated in a relevant field.
• Strong analytical thinking and attention to detail.
• Curiosity about conflicts, humanitarian crises and international affairs.
• Good written and spoken English.
• Basic familiarity with Excel and other Microsoft Office tools.
• Willingness to learn and take initiative.

Responsibilities

• 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 INSO country teams to discuss findings and improve testing approaches.

Skills

Analytical thinking

Attention to detail

English proficiency

Communication of findings

Willingness to learn

Excel basics

Education

Bachelor’s or Master’s student in data, international relations or related

Tools

Excel

Job description

INSO in The Hague, Netherlands, is offering an internship in Quality Testing & Feedback for their Open-Source Data Collection (OSDC) team. You will test NLP/AI outputs, document issues, and track data quality across cycles, contributing to safer humanitarian data handling.

The role emphasizes learning, open-source data practices, and collaboration with engineers and country teams, with a focus on improving accuracy and interpretability of security-related information.