Support the labelling of texts by Targets of SDG 9 (Industry, Innovation)
Label texts for SDG 9 to support AI applications development
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Overview
Label texts for SDG 9 to support AI applications 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 9 (Industry, Innovation and Infrastructure) 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 8 targets of Goal 9 (build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation). 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 9 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 9 (Industry, Innovation and Infrastructure) and its targets is required.
Potential interview questions
| Can you explain what SDG 9 is and why it is important? | This assesses your understanding of the Sustainable Development Goals and specifically Goal 9. | Discuss the core principles of SDG 9 and its significance in promoting inclusive and sustainable industrialization. |
| What methods would you utilize to ensure accurate labeling of texts? | This question evaluates your approach to detail and accuracy in the labeling process. | Pro members can see the explanation. |
| How do you keep up with developments in the field of sustainable development? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a time where you had to work under tight deadlines. What did you do? | Pro members can see the explanation. | Pro members can see the explanation. |
| What role do you believe data plays in policy-making and implementation? | 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
