Support the annotation of documents from International Organisations

Contract

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An SDG Integration Team located with UNDP’s Global Policy Network (GPN) offers a menu of services emphasizing direct short- to medium-term engagements to respond rapidly to requests from country offices for support on national implementation and monitoring of integrated policy solutions, qualitative and evidence-driven analysis for accelerated progress, and knowledge sharing and upscaling of innovative approaches to sustainable development. The team’s work emphasizes the application of evidence- driven data and analytics for SDG implementation and reporting. In this regard, advances in digital technology are creating data at unprecedented levels of detail and speed, turning the stories of people’s lives into numbers every minute of every day, across the globe. An important focus of the integration work is to complement traditional data (e.g., national statistics,) with new and alternative sources including digital ‘breadcrumbs,’ satellite data, social media to identify emerging trends and gain new perspectives on issues in development.

The team is looking for motivated volunteers to support the annotation of named entities, including but not limited to country, person, organisation, document, event, in a diverse set of documents from international organisations. The documents cover various areas of work of international organisations, including but not limited to, economic development, health, education, social protection, energy, gender, climate change, human rights and governance. The purpose of this assignment is to collect high-quality human-labelled dataset to support the development of multi-purpose Artificial Intelligence (AI) applications at UNDP. All candidates will complete a short online quiz to assess their fit for the task. Selected volunteers will be provided with access to a web-based annotation tool together with detailed instructions on how to use the tool and a selection of texts to annotate. Each volunteer is expected to contribute a number of annotations during the course of the assignment to successfully complete it.

• At least a bachelor's degree in social sciences, humanities or STEM.
• Proficiency in English is a requirement. Working knowledge of any other official UN language is a strong asset.
• Knowledge of basic concepts in natural language processing is an asset.
• Familiarity with the work of international organisations is an asset.