Support the labelling of texts by Targets of SDG 10 (Reduced inequality)
Support the labelling of texts for SDG 10 targets.
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Overview
Support the labelling of texts for SDG 10 targets.
You have:
- At least a bachelor's degree in social sciences, humanities or STEM.
- Proficiency in English is a prerequisite.
- Proven knowledge of Goal 10 (Reduced inequality) and its targets is required.
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 labelling of texts by 10 targets of Goal 10 (reduce inequality within and among countries). 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 assert the required level of knowledge about Agenda 2030 in general and Goal 10 in particular. 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 label. Each volunteer is expected to contribute a number of labels 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 prerequisite.
- Proven knowledge of Goal 10 (Reduced inequality) and its targets is required.
Potential interview questions
| Can you explain your understanding of SDG 10 and its relevance? | This question assesses your knowledge of the Sustainable Development Goals, specifically Goal 10. | Provide a concise overview of SDG 10, focusing on its aim to reduce inequality. |
| What experience do you have with data labeling or annotation tools? | The interviewer wants to gauge your familiarity with data labeling processes. | Pro members can see the explanation. |
| How would you approach the task of labeling texts related to SDG 10? | Pro members can see the explanation. | Pro members can see the explanation. |
| What challenges do you foresee in the labeling process, and how would you address them? | Pro members can see the explanation. | Pro members can see the explanation. |
| Why do you think data-driven approaches are important for sustainable development? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 2 years ago
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Updated 1 year ago
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Source:
unv.org
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