Verified current Job

Floor Plan Annotation

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Floor Plan Annotation based in Mexico.

Job Remote Full source details
Jobgether Source published Sep 18, 2026 Verified 4 hours ago
✓ 100% verification score · Source: jobgether (lever) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time
Work modeRemote / location-flexible

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Floor Plan Annotation based in Mexico.

Full job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Floor Plan Annotation based in Mexico. This is a remote project opportunity for detail-oriented contributors interested in working with architectural floor plan data. You will review and correct pre-labeled floor plans using the Labelbox annotation platform. Your work will involve identifying and validating key architectural elements such as walls, doors, windows, rooms, openings, and stairs. Accuracy and consistency are essential, with a target accuracy rate of 95%. The project offers a structured workflow, technical guidelines, and mandatory online training before production work begins. You will work independently while following detailed instructions and meeting defined quality and delivery expectations. The project is temporary and designed for contributors available approximately 5–8 hours per day.

Review pre-labeled architectural floor plans and identify elements requiring correction or adjustment. Annotate and validate architectural features, including walls, doors, windows, rooms, openings, and stairs. Use Labelbox to complete annotation tasks accurately and consistently according to project guidelines. Maintain the required quality standard, with a target accuracy of 95%. Follow technical instructions and annotation guidelines throughout the project. Complete assigned floor plans within expected handling times and project deadlines. Participate in mandatory online training before starting work on the live project. Adapt to the platform and workflow as familiarity increases and handling times improve. Requirements Strong attention to detail and the ability to identify small differences or inconsistencies in floor plan annotations. Good English comprehension for understanding project guidelines, technical instructions, and training materials. Reliable computer and internet connection suitable for consistent remote work. Ability to follow detailed technical instructions accurately and consistently. Strong reliability and time-management skills, with the ability to meet project deadlines. Availability to complete approximately 5–8 hours of work per day during the project period. Willingness and availability to attend the mandatory online training session. Previous experience with architectural drawings, floor plans, data annotation, Labelbox, or similar platforms may be helpful, but is not specified as mandatory. Ability to work independently and maintain a high level of accuracy across repetitive tasks. Benefits Fully remote work from Mexico. Temporary project opportunity with flexible daily work availability of approximately 5–8 hours. Compensation of USD 0.33–0.49 per approved floor plan , depending on annotation volume. Estimated handling time of approximately 1–1.5 hours per floor plan , depending on complexity and familiarity with the workflow. Structured onboarding through mandatory online training. Opportunity to gain experience working with data annotation and architectural floor plan datasets. Work through the Labelbox annotation platform. Clear project guidelines and defined quality expectations. Opportunity to work on a structured AI/data-related annotation project. Candidates who pass the assessment and meet the project requirements will be shortlisted for mandatory training before joining the live project.

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