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Cartographer

Science AI-Augmented

Collects, measures, and interprets geographic information to create and update maps and charts for various purposes.

C
🟡 Caution
Cartographer has a cautious outlook. Growth is slowing and competition for roles is increasing.
58
/ 100
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Work Profile

Stress
4/10
Work-Life
8/10
Future Outlook
4/10
Hours / Week
40

Salary Growth

Starting
$52,000
Year 5
$74,000
Year 10
$98,000
Top Earners
$135,000
Promotion Path: GIS Technician > Cartographer > GIS Manager > Geospatial Director

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Core Skills and Tools

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

Math & Analysis

Data analysis

Requirements

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

Systems & Software

ArcGIS Pro and ArcGIS Online
Geospatial data editing
Parcel and land records GIS

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Thinking about switching into Cartographer?

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Other Potential Career Pivot Paths

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

Geographer

Move between related career paths by building adjacent skills and experience.

Typical Salary: $85000-$125000

Skills Needed: map design, GIS, data visualization, spatial analysis

Difficulty: 🟢 Easy

View Career →

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 Cartographer.

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AI Impact & Task Breakdown

AI-Augmented

AI automates the extraction of features (like buildings/roads) from satellite images.

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: 5.1/10 Human Value: 8.5/10 AI Leverage: 7.5/10

Based on 10 analyzed tasks

More likely automated

  • Create and update maps
  • Analyze GIS and geospatial data

Still requires human judgment

  • Coordinate with planners scientists or clients
  • Create and update maps

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.

Create and update maps

Design geographic products that communicate boundaries features and spatial relationships

Moderate Automation High Human Value High AI Leverage
Automation: 6/10 • AI Leverage: 8/10 • Human Value: 9/10

Likely adoption: 3-5 years

Create Accurate Maps

Compile geographic data to produce maps for navigation planning or analysis

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

Likely adoption: 0-2 years

Analyze GIS and geospatial data

Interpret datasets imagery and coordinate systems for mapping accuracy

Moderate Automation High Human Value High AI Leverage
Automation: 6/10 • AI Leverage: 8/10 • Human Value: 9/10

Likely adoption: 3-5 years

Interpret Spatial Datasets

Review satellite imagery survey outputs and GIS layers for mapping projects

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

Likely adoption: 0-2 years

Apply map design standards and symbols

Select projections labels colors and layers for clear visual presentation

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

Likely adoption: 3-5 years

Design Map Layouts

Choose symbols colors labels and scales that make maps usable and clear

Moderate Automation High Human Value High AI Leverage
Automation: 4/10 • AI Leverage: 7/10 • Human Value: 9/10

Likely adoption: 3-5 years

Validate spatial accuracy and metadata

Check sources scale alignment and documentation before publication

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

Likely adoption: 3-5 years

Update Geospatial Records

Maintain current map data when roads boundaries or land features change

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

Likely adoption: 3-5 years

Coordinate with planners scientists or clients

Clarify map requirements and tailor outputs to project needs

Moderate Automation High Human Value
Automation: 4/10 • AI Leverage: 6/10 • Human Value: 10/10

Likely adoption: 5-10 years

Consult with Project Stakeholders

Translate user needs into map products for agencies businesses or researchers

Low Automation Risk High Human Value
Automation: 3/10 • AI Leverage: 6/10 • Human Value: 9/10

Likely adoption: 3-5 years

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