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Cartographic Technician

Science AI-Augmented

Collects and analyzes geographical data to create and update maps.

C
🟡 Caution
Cartographic Technician is in a transitional period. Some tasks face automation pressure while demand stabilizes. Stay current on skills.
61
/ 100
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Work Profile

Stress
4/10
Work-Life
9/10
Future Outlook
7/10
Hours / Week
40

Salary Growth

Starting
$45,000
Year 5
$58,000
Year 10
$75,000
Top Earners
$98,000
Promotion Path: Technician -> Cartographer -> Senior Cartographer -> GIS Manager.

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Core Skills and Tools

These are the practical tools, systems, math, and AI skills used in Cartographic Technician roles.

Core Skills

Drafting and surveying principles
Tutoring test prep

Requirements

Associate's degree requirement
Bachelor's degree requirement
Degree field requirement

Systems & Software

ArcGIS Pro and ArcGIS Online
Parcel and land records GIS
Photogrammetry and GIS applications

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Other Potential Career Pivot Paths

Many professionals start in Cartographic Technician roles and later move into higher-paying or more specialized careers by developing additional skills.

GIS Technician

Move into an adjacent geospatial support role maintaining datasets performing edits and preparing outputs. It is a direct practical transition.

Typical Salary: $65000-$95000

Skills Needed: GIS software, data editing, metadata, map layouts

Difficulty: 🟢 Easy

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How to Get Hired

This section focuses on practical readiness: what skills matter, what tools or certifications may help, and what you can do now to become more employable.

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See the exact skills, certifications, projects, and step-by-step plan to break into Cartographic Technician.

  • Real projects to build experience
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AI Impact & Task Breakdown

AI-Augmented

AI is significantly automating the extraction of map features from satellite imagery.

How to Stay Valuable

  • Develop judgment, communication, and problem-solving skills
  • Learn how AI tools can support this career instead of ignoring them
  • Move toward strategy, interpretation, and higher-value work over time

AI Scores

Automation Risk: 6.3/10 Human Value: 7.6/10 AI Leverage: 8.0/10

Based on 10 analyzed tasks

More likely automated

  • Prepare geospatial data for mapping
  • Update maps and location records

Still requires human judgment

  • Prepare geospatial data for mapping
  • Update maps and location records

How AI Affects This Job

This career includes a mix of tasks. Some are becoming more automated, while others are becoming more valuable because they require human expertise.

Prepare geospatial data for mapping

Edit features attributes and base layers used by cartographers or GIS teams

High Automation Risk High Human Value High AI Leverage
Automation: 7/10 • AI Leverage: 8/10 • Human Value: 8/10

Likely adoption: 0-2 years

Prepare GIS Data Layers

Clean format and organize geographic data for mapping and analysis work

Moderate Automation High AI Leverage
Automation: 6/10 • AI Leverage: 8/10 • Human Value: 7/10

Likely adoption: 0-2 years

Update maps and location records

Revise map products based on new surveys imagery or field changes

High Automation Risk High Human Value High AI Leverage
Automation: 7/10 • AI Leverage: 8/10 • Human Value: 8/10

Likely adoption: 0-2 years

Digitize Map Features

Convert imagery surveys or paper maps into usable digital map elements

Moderate Automation High AI Leverage
Automation: 6/10 • AI Leverage: 8/10 • Human Value: 7/10

Likely adoption: 0-2 years

Run quality checks on map data

Identify topology errors missing attributes and alignment issues in datasets

Moderate Automation High Human Value High AI Leverage
Automation: 6/10 • AI Leverage: 8/10 • Human Value: 8/10

Likely adoption: 3-5 years

Check Map Accuracy

Review coordinates labels and feature placement before final delivery

Moderate Automation High Human Value High AI Leverage
Automation: 5/10 • AI Leverage: 8/10 • Human Value: 8/10

Likely adoption: 0-2 years

Format map layouts and outputs

Apply templates labels legends and scale elements for publication

High Automation Risk High Human Value High AI Leverage
Automation: 7/10 • AI Leverage: 8/10 • Human Value: 8/10

Likely adoption: 0-2 years

Support Map Production Workflows

Assist cartographers with updates revisions exports and file management

Moderate Automation High AI Leverage
Automation: 6/10 • AI Leverage: 8/10 • Human Value: 7/10

Likely adoption: 3-5 years

Maintain documentation and file organization

Track data sources revisions and project folders for mapping workflows

High Automation Risk High Human Value High AI Leverage
Automation: 7/10 • AI Leverage: 8/10 • Human Value: 8/10

Likely adoption: 0-2 years

Maintain Geospatial Documentation

Record metadata standards and processing notes for mapping datasets

Moderate Automation High AI Leverage
Automation: 6/10 • AI Leverage: 8/10 • Human Value: 7/10

Likely adoption: 3-5 years

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