Description
About GBG
GBG is the leading expert in global identity and location. In an increasingly digital world, GBG helps businesses grow by giving them intelligence to make the best decisions about their customers, when it matters most. Every second, our global data, agile technology, and expert teams, power over 20,000 of the world's best-known organisations to reach and trust their customers.
Why you should be@GBG
Reach
The precision of location data is critical to businesses that need to know exactly where their customers are so they can reduce failed deliveries, share great customer experiences and remove unnecessary costs. We provide the unique insight to know locations as well as the people who live there, because we understand global addresses better than anyone else.This means our customers have confidence that their products and services will arrive in time and to the right location In the race to serve global customers, we exist to help every business in the world, reach every customer in the world.
Trust
When a digital business grows, most customers are genuine. However, many are fraudsters who manipulate identities to gain illegitimate access. We give our customers unique insight to decide which are trustworthy and which are fraudulent, because we understand identity better than anyone else.This means businesses can confidently onboard good customers, reward great customers and reject fraudsters. In the fight against Identity, Fraud, trust is key, so the more you can know and the earlier you know it, the better decisions you can make.
About the team
At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation.
What you will do
This position is part time, requiring 20 hours per week. As a Data Labeller, your responsibilities will include drawing bounding boxes, extracting text values, and labelling classifications on a range of document types, including identity documents, medical cards, and proof of address documents. Additionally, you will participate in tasks such as generating forged documents to enhance our detection capability for fraudulent documents and improve our testing capabilities. This role presents a unique opportunity to improve your skills in data annotation and gain experience with new tools for data labelling.
You will also:
- Draw bounding boxes around text fields on documents such as identity cards, passports, driving licenses, proof of address, and medical cards.
- Extract and accurately write values from these bounded areas, including names, addresses, dates of birth, and other pertinent information.
- Label document classifications to assist in the training of AI models for different document types.
- Participate in tampering exercises, which may include creating altered samples digitally, adding or removing characters from documents, applying stickers or shapes, changing the photo of an individual on documents (+Additional methods of document fraud)
What We're Looking For:
- Proficiency in English is a must, as clear communication is essential for this role.
- A strong work ethic and dedication.
- Ability to learn and adapt to new tools and software used for annotation, drawing bounding boxes, and extracting OCR values
- Experience or familiarity with data labelling, document annotation, or similar roles is preferred but not required.
- Familiarity with applications like Photoshop, or PhotoDemon is advantageous.
Behaviours we'd like to see
- Good communication skills: whether face-to-face, on the telephone, in writing or on digital platforms.
- Detail-Oriented: ensuring precision in drawing bounding boxes and extracting text values.
- Eagerness to Learn: You are willing to learn about the tools and techniques used for annotation, classification, and tampering exercises.
In this position, you will receive a training on the tools and methods used for annotation, drawing bounding boxes, and filling OCR values, as well as how to generate forged data and other tools to generate synthetic data.
Please apply for this position if you're interested.
