20 publicaciones de empleo destacadas de planet english en ciudad de méxico, dif (¡Están contratando!)

GIS Mapping and HD Mapping Annotator
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- Microsoft Office
- Gestión de venta al por menor
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Tether Operations Limited —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Doctorado
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Tether Operations Limited —Ciudad de México, CDMX
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- Home Office (Desde casa)
- Administración de personal
- Doctorado
- Informática
Global Events Finance Manager (100% remote)
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- Tiempo completo
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- Microsoft Powerpoint
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Coca-Cola —Ciudad de México, CDMX
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- Inglés
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Samsara —Ciudad de México, CDMX
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Burger King —Cuauhtémoc, CDMX
- Microsoft Excel
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- Microsoft Powerpoint
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1d
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Microsoft —Ciudad de México
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Cambridge University Press & Assessment —Ciudad de México, CDMX
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Samsara —Ciudad de México, CDMX
- Home Office (Desde casa)
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- Inglés
- Permiso de maternidad y paternidad
4d
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- Microsoft Powerpoint
- Microsoft Word
- Microsoft Outlook

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GIS Mapping and HD Mapping Annotator

Voxelmaps -
Juárez, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 7 días

Cualificaciones

Modelos de inteligencia artificial
ArcGIS
Estructura de datos
Inglés
SQL
Python

Descripción completa del empleo

Voxelmaps Inc was originally a spin-off from Navmii, one of the leading navigation and mapping companies in the world. Our mission is to build a true 4D volumetric model of the planet, combining visual, spatial and temporal data to create the most detailed map of the world. It does this using a unique patent-pending technology using MRVOGs (Multi-Resolution, Voxel Occupancy Grids). At Voxelmaps, we pride ourselves on being mapping experts, delivering accurate and precise maps to industries globally. Our team combines cutting-edge technology with years of geospatial experience to meet the most demanding mapping needs.

About the Role:
We are looking for a GIS Mapping and HD Mapping Annotator to join our team and contribute to the creation, refinement, and quality assurance of high-definition maps for autonomous driving, navigation, and other geospatial applications. You will be responsible for annotating, validating, and improving map data using LiDAR point clouds, satellite imagery, and other spatial datasets.

Key Responsibilities:

Annotate and label high-definition map features, road networks, and infrastructure elements.
Process, analyze, and validate geospatial data, including LiDAR point clouds, aerial imagery, and GPS data.
Conduct quality control to ensure accuracy and consistency of HD map data.
Collaborate with GIS engineers and data scientists to refine mapping workflows and automation techniques.
Utilize mapping and annotation tools, including GIS software (ArcGIS, QGIS) and HD mapping platforms.
Perform spatial data editing, segmentation, and attribute tagging as per project requirements.
Assist in training AI models by providing high-quality annotations and feedback.
Document processes and contribute to the development of best practices in HD mapping annotation.

Required Qualifications:

Must speak professional/fluent English language
1+ years of experience in GIS, HD mapping, or spatial data annotation preferred
Proficiency in GIS software (ArcGIS, QGIS) and point cloud processing tools (e.g., LAStools, CloudCompare, or similar).
Experience with annotation tools for HD mapping and LiDAR data.
Understanding of spatial data structures, geodatabases, and coordinate reference systems.
Strong attention to detail and ability to work with large geospatial datasets.
Good communication skills and ability to work in a collaborative environment.

Preferred Qualifications:

Experience working with HD maps for autonomous vehicles, robotics, or smart cities.
Familiarity with Python, SQL, or other scripting languages for GIS automation.
Knowledge of machine learning applications in geospatial annotation.
Background in 3D data processing and visualization.

Why Join Us?

Be part of a cutting-edge team working on next-generation mapping technologies.
Growth opportunities within the GIS and autonomous driving industry.
Competitive salary

Timeline:

Tentative start date Immdiately

Job Type:

Full-Time; Contractor position
Not remote work must work in company workspace. For security purposes

Pay & Compensation:

25,000 MXN per month (paid monthly)

If you're passionate about geospatial data, HD mapping, and innovative technologies, we'd love to hear from you!

EEO Statement: Voxelmaps is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.

Disclaimer: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of the client and not that of the consulting firm.

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