Support the labelling of texts by Targets of SDG 4 (Quality education)
Support the labelling of texts related to SDG 4.
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Overview
Support the labelling of texts related to SDG 4.
You have:
- At least a bachelor's degree in social sciences, humanities or STEM.
- Proficiency in English is a prerequisite.
- Proven knowledge of Goal 4 (Quality education) 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 4 (ensure inclusive and equitable quality education and promote lifelong learning opportunities for all). 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 4 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 4 (Quality education) and its targets is required.
Potential interview questions
| Can you describe your understanding of SDG 4 and its importance in today's world? | This question assesses your knowledge of Sustainable Development Goal 4 and its relevance. | Highlight the significance of quality education and lifelong learning opportunities in promoting global development. |
| What experience do you have with data labeling or annotation? | The interviewer is looking to understand your practical skills in data processing. | Pro members can see the explanation. |
| How would you approach misunderstanding or ambiguity in the texts you are labeling? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a time when you had to work independently on a project. How did you manage your time? | Pro members can see the explanation. | Pro members can see the explanation. |
| What strategies do you have for ensuring accuracy and quality in your work? | 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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