Job description:
Job description:
- Job Title: Data Annotator UI/UX Annotation (Bounding Box Specialist)
- Location: Noida, Sector- 62 (Work from Office)
- Experience Required: 6 Months2 Years (Minimum)
Job Summary:
We are seeking a detail-oriented Data Annotator with 6 Months2 years of experience in UI/UX annotation and bounding box labeling. The ideal candidate should have hands-on experience annotating user interface elements such as buttons, icons, menus, text fields, pop-ups, and other screen components for AI and computer vision training datasets.
Key Responsibilities:
- Perform accurate bounding box annotation on UI screens (mobile, web, and desktop interfaces).
- Identify and label UI elements such as buttons, dropdowns, checkboxes, input fields, navigation bars, modals, banners, icons, etc.
- Follow detailed annotation guidelines and taxonomy for UI component classification.
- Maintain high accuracy and consistency across large-scale datasets.
- Conduct self-QA before submission to ensure quality standards are met.
- Collaborate with QA teams and project managers to address feedback and corrections.
- Meet daily productivity and quality targets.
- Report unclear UI cases or edge scenarios to the reporting manager.
- Required Skills & Qualifications:
- Minimum 6 Months2 years of experience in UI/UX annotation or screen-based data labeling.
- Strong understanding of UI components and user interface design structures.
- Hands-on experience with annotation tools such as CVAT, Labelbox, Supervisely, VGG, or similar platforms.
- High attention to detail and ability to differentiate similar UI elements.
- Good understanding of bounding box accuracy and alignment standards.
- Ability to work from office in Noida.
- Good communication and comprehension skills.
Preferred Qualifications:
- Basic understanding of UX principles and usability concepts.
- Experience working on AI training datasets related to screen recognition or UI automation.
- Familiarity with different annotation formats (COCO, YOLO, etc.)
- This role is ideal for candidates who have a keen eye for interface details and want to contribute to AI-driven UI recognition and automation projects.
Duration: 3 months
If interested please share your resume on [Confidential Information]
Job Type: Contractual
Work Location: In person
