4 days ago

GIS Specialist

Talent Bridge

Hybrid
Contractor
$195,000
Hybrid

Job Overview

Job TitleGIS Specialist
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$195,000
LocationHybrid

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Job Description

GIS Specialist

We are seeking a skilled Cartographer and Photogrammetrist to contribute expertise in geospatial analysis and mapping technologies to support advanced AI model training. In this fully remote role, you will apply your knowledge of GIS, remote sensing, and spatial data interpretation to help improve the accuracy, reliability, and performance of next-generation geospatial AI systems.

This opportunity is ideal for professionals passionate about precision mapping, spatial intelligence, and the intersection of geospatial science and artificial intelligence.

Key Responsibilities

  • Compile, analyze, and interpret spatial data from aerial imagery, satellite data, geodetic surveys, and existing cartographic sources for AI training purposes
  • Prepare and refine detailed maps, charts, tables, and 3D terrain models in digital and graphical formats
  • Delineate geographic features including topography, hydrography, cultural landmarks, and control points using stereoplotting and computer graphics tools
  • Interpret legal land records to establish and verify property boundaries
  • Design and evaluate GIS-related algorithms, data structures, and user interfaces
  • Perform spatial data validation and quality assurance to ensure accuracy and integrity
  • Annotate and structure geospatial datasets for machine learning applications
  • Collaborate with AI and engineering teams to provide expert feedback and improve geospatial model performance

Required Skills and Qualifications

  • Bachelor’s degree or higher in Cartography, Photogrammetry, Geomatics, Geography, or a related field
  • Strong hands-on experience with GIS, remote sensing, and photogrammetric software and tools
  • Proficiency in spatial data analysis and map preparation
  • Experience interpreting satellite imagery and conducting geodetic surveys
  • Familiarity with algorithm development, data structures, and mapping system design
  • Working knowledge of Python or other relevant programming languages
  • Excellent written and verbal communication skills
  • Strong attention to detail and commitment to spatial accuracy
  • Ability to work independently in a remote, collaborative environment

Preferred Qualifications

  • Advanced degree or professional certifications in GIS or photogrammetry
  • Experience collaborating with AI or machine learning teams
  • Background in property boundary analysis and legal land documentation
  • Familiarity with computer graphics tools and geospatial visualization technologies

Key skills/competency

  • Geospatial Analysis
  • Photogrammetry
  • Remote Sensing
  • GIS Software
  • Spatial Data Interpretation
  • AI Model Training
  • Cartography
  • Python Programming
  • Data Validation
  • Machine Learning Applications

Tags:

GIS Specialist
geospatial analysis
mapping
remote sensing
data interpretation
AI model training
cartography
photogrammetry
spatial data validation
feature delineation
machine learning
GIS software
remote sensing tools
photogrammetric software
Python
computer graphics
satellite imagery
geodetic surveys
data structures
algorithms

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How to Get Hired at Talent Bridge

  • Research Talent Bridge's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for GIS Specialist: Customize your resume to highlight experience in geospatial analysis, photogrammetry, and AI model training relevant to Talent Bridge's needs.
  • Showcase your technical skills: Emphasize proficiency in GIS, remote sensing software, Python, and data structures with specific project examples.
  • Prepare for remote collaboration: Be ready to discuss how you thrive in independent, remote work environments and collaborate effectively with distributed teams.
  • Highlight AI/ML collaboration: If you have experience, demonstrate how you've worked with AI or machine learning teams to improve model performance.

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