Job description:

Job description:

Job Title: Data Annotator – UI/UX Annotation (Bounding Box Specialist)
Location: Noida, Sector- 62 (Work from Office)
Experience Required: 6 Months–2 Years (Minimum)

Job Summary:

We are seeking a detail-oriented Data Annotator with 6 Months–2 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 Months–2 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 [HIDDEN TEXT]

Job Type: Contractual

Work Location: In person