Visual Annotation Volunteer

Volunteering

Overview

Annotate policy documents visually for AI applications.

You have:

• At least a bachelor's degree in social sciences, humanities or STEM is a prerequisite.
• Candidates must have advanced computer skills.
• Previous experience with image annotation tools, e.g. Roboflow Annotate, CVAT, Make Sense, Labelbox, Label Studio or Doccano, is a strong asset.
• Proven interest in intelligent document analysis and artificial intelligence applications is an asset.

Contract

This is a UNV contract. More about UNV contracts.

The 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.

We are looking for 100 motivated Online Volunteers who, under the guidance of Data Science Analyst, will support the Data Futures Exchange team in annotating policy documents for artificial intelligence applications. The Online Volunteer will be responsible for: – Attending one online onboarding session – Visually annotating policy documents – Attending one online review session – Conducting quality checks and validation of annotations

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 task to assert their computer skills.

The Online 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 documents to annotate. Each volunteer is expected to contribute the minimum number of annotations during the course of the assignment to successfully complete it.

The Online Volunteers will also have the opportunity to build connections with the Data Futures Exchange team at UNDP and learn about the ways in which data can support the development of artificial intelligence tools at UNDP.

Please note that this assignment involves tasks that require analyzing visually diverse inputs, such as labeling images. Due to the specific nature of this role, it requires a certain level of visual acuity. Therefore, we are unable to accommodate volunteers with visual impairments for this particular position. We encourage individuals with different abilities to explore other opportunities with us that may align better with their skills.

– At least a bachelor's degree in social sciences, humanities or STEM is a prerequisite. – Candidates must have advanced computer skills. – Previous experience with image annotation tools, e.g. Roboflow Annotate, CVAT, Make Sense, Labelbox, Label Studio or Doccano, is a strong asset. – Proven interest in intelligent document analysis and artificial intelligence applications is an asset.

Apply now

Potential interview questions

Added 1 year ago - Updated 1 year ago - Source: unv.org