9 days ago

GIS Specialist

Keystone Recruitment

Hybrid
Contractor
$200,000
Hybrid

Job Overview

Job TitleGIS Specialist
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$200,000
LocationHybrid

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Job Description

Job Summary

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 of a GIS Specialist

  • 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

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

Tags:

GIS Specialist
geospatial analysis
mapping
data interpretation
AI model training
spatial data validation
cartography
photogrammetry
remote sensing
geographic features
property boundary
GIS software
remote sensing software
photogrammetric software
Python
computer graphics tools
machine learning
AI systems
spatial data structures
mapping system design
geodetic surveys

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How to Get Hired at Keystone Recruitment

  • Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your GIS Specialist resume: Customize your resume to highlight GIS, remote sensing, and AI-related experience, using keywords from the job description.
  • Showcase your technical skills: Prepare a portfolio demonstrating your proficiency in GIS software, spatial data analysis, Python, and photogrammetric tools.
  • Prepare for a remote interview: Practice articulating your experience with independent work, collaboration, and problem-solving in a remote setting.
  • Highlight AI/ML collaboration: Emphasize any experience working with AI or machine learning teams and your passion for geospatial AI.

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