Support the labelling of texts by Targets of SDG 13 (Climate action)
Support labeling of texts for Goal 13 of Agenda 2030.
Overview
Support labeling of texts for Goal 13 of Agenda 2030.
You have:
- At least a bachelor's degree in social sciences, humanities or STEM.
- Proficiency in English is a prerequisite.
- Proven knowledge of Goal 13 (Climate action) and its targets is required.
Contract
This is a UNV contract. More about UNV contracts.
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 5 targets of Goal 13 (take urgent action to combat climate change and its impacts). 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 13 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 13 (Climate action) and its targets is required.
Potential interview questions
| Can you explain your understanding of Goal 13 and its targets? | This question assesses your knowledge of climate action and specific targets. | Discuss the key concepts and objectives of Goal 13. |
| How do you handle tight deadlines when working on data labeling tasks? | The interviewer wants to understand your time management skills. | Pro members can see the explanation. |
| What approaches do you use to ensure high-quality data labels? | Pro members can see the explanation. | Pro members can see the explanation. |
| Have you ever used annotation tools? If so, which ones? | Pro members can see the explanation. | Pro members can see the explanation. |
| What motivates you to support sustainable development initiatives? | Pro members can see the explanation. | Pro members can see the explanation. |