Support the labelling of texts by Targets of SDG 16 (Peace, justice)
Engage in labelling texts for SDG 16 targets to support AI development
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Overview
Engage in labelling texts for SDG 16 targets to support AI development
You have:
- At least a bachelor's degree in social sciences, humanities or STEM.
- Proficiency in English is a prerequisite.
- Proven knowledge of Goal 16 (Peace, justice and strong institutions) 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 12 targets of Goal 16 (promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels). 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 16 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 16 (Peace, justice and strong institutions) and its targets is required.
Potential interview questions
| Can you explain your understanding of SDG 16 and its importance? | The interviewer wants to assess your knowledge of sustainability goals and this specific target. | Provide a brief summary of SDG 16 and discuss its impact on sustainable development. |
| Describe a time when you had to work with data. What challenges did you face? | This question aims to evaluate your experience in data handling and problem-solving skills. | Pro members can see the explanation. |
| How do you ensure accuracy when labelling data? | Pro members can see the explanation. | Pro members can see the explanation. |
| In what ways do you think alternative data sources can complement traditional statistics? | Pro members can see the explanation. | Pro members can see the explanation. |
| What tools or technologies have you used for data annotation? | 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:
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