UX Labeler
Mobbin
Summary
Join Mobbin as a UX Labeler and contribute to the world's most extensive app design reference library! This 6-month contract role involves accurately labeling image data of mobile and web applications, ensuring high-quality data for our research and development teams. You will collaborate with the team, providing feedback and participating in discussions to improve labeling methodologies. The ideal candidate possesses excellent English communication skills, strong attention to detail, and analytical abilities. Good performers may be considered for contract renewals. We offer a performance bonus, remote work opportunities, and chances for professional growth within a world-class team based in Singapore.
Requirements
- Be familiar with UI & UX concepts. You will need to be able to identify UI elements and UX patterns for your labelling work
- Have strong attention to detail so as to accurately label our image data. You should be able to identify and annotate objects and events with precision. You should also be able to identify when the labelling instructions are not sufficiently clear
- Have effective communication skills. You will need to collaborate with team members, provide feedback and address any labelling challenges. Good written and verbal communication skills in English is required
- Have strong analytical skills. You will need to analyse images and ensure accurate labelling. You will also need to be able to identify labelling errors and rectify them. You should also suggest improvements to the labelling process if necessary
- Have good time management skills. You will have project deadlines for your labelling tasks. You need to be able to manage your time well in order to meet project deadlines
- Any graduate from an accredited university/college
- Excellent english proficiency
- Own a personal computer and a mouse with stable internet connection . You will be using your own device for work
Responsibilities
- Accurately annotate and label image data based on the provided guidelines and project requirements. This includes identifying and labelling objects, actions, events and other relevant elements in the image
- Conduct thorough quality control checks on annotated data to ensure accuracy and consistency. Identify and rectify any labelling errors or inconsistencies to maintain high data quality standards
- Work closely with the research and development teams to understand project goals and requirements. Clarify your doubts and provide feedback on labelling guidelines and instructions. Actively participate in discussions to improve data labelling methodologies and processes
- Stay updated on the latest techniques, tools and best practices in data labelling and computer vision. Actively seek opportunities for self-improvement and skill enhancement
Preferred Qualifications
Image annotation tool knowledge. You will be working on tools similar to Labelbox, Label Studio, v7 Darwin, etc. As such, basic knowledge on these tools can be a great plus point
Benefits
- Performance bonus
- Remote work
- Opportunities for growth
- Work with a world-class team based out of Singapore