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Surveying and Mapping Technicians

Occupation · SOC 17-3031.00

Perform surveying and mapping duties, usually under the direction of an engineer, surveyor, cartographer, or photogrammetrist, to obtain data used for construction, mapmaking, boundary location, mining, or other purposes. May calculate mapmaking information and create maps from source data, such as surveying notes, aerial photography, satellite data, or other maps to show topographical features, political boundaries, and other features. May verify accuracy and completeness of maps.

Also called: Mapping Technician · Photogrammetric Compilation Specialist · Photogrammetric Technician · Survey Technician · Aerotriangulation Specialist · Geospatial Analyst · Mapping Editor · Stereoplotter Operator · Tax Map Technician · Aerial Photograph Interpreter · Assessment Technician · Ax Survey Worker

Job family: Architecture and Engineering Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-17-3031-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

68th-percentile task overlap — yet about 7,600 openings a year (+4.5% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 50th 0.1
LLM task exposure, γ (OpenAI / Eloundou) High 81st 0.9
AI assistant applicability (Microsoft) High 72nd 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 1.0 · 91st percentile among occupations · High

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Check all layers of maps to ensure accuracy, identifying and marking errors and making corrections. 0.3%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +4.5% by 2034
Projected annual openings 7,600
Employment 2024 → 2034 59,400 → 62,100

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

28% mean task exposure (2025)
52nd percentile of 427 placed occupations
−3 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Civil Engineering Technicians · 3112 28% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Use drone technology to capture aerial images or videos for creating detailed and accurate maps.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Computers and Electronics 4.2
Geography 3.9
Mathematics 3.7
English Language 3.6
Engineering and Technology 3.5
Design 3.3
Customer and Personal Service 3.2
Administrative 2.9

Essential skills

Reading Comprehension 3.9
Critical Thinking 3.4
Writing 3.3
Mathematics 3.3
Active Listening 3.1
Speaking 3.1
Monitoring 3.1
Active Learning 3.0

Abilities

Written Comprehension 3.8
Near Vision 3.5
Oral Comprehension 3.4
Oral Expression 3.4
Inductive Reasoning 3.4
Written Expression 3.3
Problem Sensitivity 3.3
Deductive Reasoning 3.3
Information Ordering 3.3
Category Flexibility 3.1
Flexibility of Closure 3.1
Far Vision 3.1
Speech Recognition 3.1
Speech Clarity 3.1
Fluency of Ideas 3.0
Mathematical Reasoning 2.9
Perceptual Speed 2.9

Transferable skills

Complex Problem Solving 3.1
Coordination 3.0
Social Perceptiveness 2.9
Persuasion 2.9
Service Orientation 2.9
Judgment and Decision Making 2.9
Time Management 2.9

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 45.

Tools & technology

Example Category
Autodesk AutoCAD Computer aided design CAD software Hot technology In demand
Autodesk AutoCAD Civil 3D Computer aided design CAD software Hot technology In demand
Bentley MicroStation Computer aided design CAD software Hot technology In demand
ESRI ArcGIS software Geographic information system Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Adobe Illustrator Graphics or photo imaging software Hot technology
Adobe Photoshop Graphics or photo imaging software Hot technology
Hypertext markup language HTML Web platform development software Hot technology
JavaScript Web platform development software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft SharePoint Document management software Hot technology
Microsoft Visio Process mapping and design software Hot technology
Microsoft Visual Basic Development environment software Hot technology
Microsoft Visual Basic for Applications VBA Development environment software Hot technology
Microsoft Word Word processing software Hot technology
Python Object or component oriented development software Hot technology
Structured query language SQL Data base user interface and query software Hot technology
Geographic information system GIS systems Geographic information system In demand
3D Nature LLC Visual Nature Studio Computer aided design CAD software
3D Nature LLC World Construction Set Computer aided design CAD software
Adobe Acrobat Writer Word processing software
Adobe FreeHand MX Graphics or photo imaging software
Autodesk 3d Studio Viz Computer aided design CAD software
Autodesk AutoCAD Blue Sky Computer aided design CAD software
Autodesk AutoCAD Map 3D Computer aided design CAD software
Autodesk CAiCE Visual Transportation Computer aided design CAD software
Autodesk Land Desktop Computer aided design CAD software
Bentley GeoPak Bridge Graphics or photo imaging software
Bentley GEOPAK Civil Engineering Suite Computer aided design CAD software
Bentley Systems InRoads Suite Map creation software
CARIS HIPS Analytical or scientific software
CARIS SIPS Analytical or scientific software
Carlson SurvCADD Computer aided design CAD software
Carlson Survey Map creation software
Computer aided design and drafting software CADD Computer aided design CAD software
Coordinate geometry COGO software Analytical or scientific software
Database software Data base user interface and query software

Showing the top 40 of 101.

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

E-Mail 4.8
Importance of Being Exact or Accurate 4.6
Face-to-Face Discussions with Individuals and Within Teams 4.6
Telephone Conversations 4.3
Freedom to Make Decisions 4.3
Contact With Others 4.0
Determine Tasks, Priorities and Goals 3.9
Indoors, Environmentally Controlled 3.9
Importance of Repeating Same Tasks 3.8
Work With or Contribute to a Work Group or Team 3.8
Frequency of Decision Making 3.8
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.7
Time Pressure 3.7
Spend Time Making Repetitive Motions 3.7
Impact of Decisions on Co-workers or Company Results 3.6
Written Letters and Memos 3.4
Outdoors, Exposed to All Weather Conditions 3.3
Spend Time Sitting 3.3
Work Outcomes and Results of Other Workers 3.2
Physical Proximity 3.1
Coordinate or Lead Others in Accomplishing Work Activities 3.0
Level of Competition 3.0
Deal With External Customers or the Public in General 3.0
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.0
Spend Time Standing 2.9
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 2.9
In an Enclosed Vehicle or Operate Enclosed Equipment 2.9
Exposed to Very Hot or Cold Temperatures 2.8
Health and Safety of Other Workers 2.8
Consequence of Error 2.7
Spend Time Walking or Running 2.7
Degree of Automation 2.6
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.6
Exposed to Hazardous Equipment 2.5
Conflict Situations 2.4
Exposed to Minor Burns, Cuts, Bites, or Stings 2.4
Indoors, Not Environmentally Controlled 2.3
Dealing With Unpleasant, Angry, or Discourteous People 2.3
Spend Time Bending or Twisting Your Body 2.1
Exposed to Contaminants 2.0

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Engineering/Engineering-Related Technologies/Technicians , Social Sciences . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Realistic 5.9
Conventional 5.6
Investigative 4.0
Artistic 1.9

Interest areas

Engineering 3.8
Mathematics/Statistics 3.5
Information Technology 3.4
Nature/Outdoors 2.8
Mechanics/Electronics 2.7
Physical/Manual Labor 2.3
Office Work 2.1
Physical Science 2.0
Transportation/Machine Operation 1.8
Construction/Woodwork 1.8

Work styles

Attention to Detail 2.7
Dependability 2.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$37k10th$44k25th$52kMedian$65k75th$81k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
59k202462k2034 (proj.)+4.5% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $36,910
25th percentile $44,180
Median (50th) $51,940
75th percentile $65,240
90th percentile $80,870
People employed 56,720

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Professional, Scientific, and Technical Services · Sector 38,010 $49,260
Engineering Services · National industry 16,770 $55,670
Administrative and Support and Waste Management and Remediation Services · Sector 4,690 $47,170
Utilities · Sector 2,230 $76,970
Construction · Sector 2,060 $55,940
Management of Companies and Enterprises · Sector 540 $74,210
Mining, Quarrying, and Oil and Gas Extraction · Sector 430 $61,690
Information · Sector 430 $51,100
Power and Communication Line and Related Structures Construction · National industry 320 $60,060
Electrical Contractors and Other Wiring Installation Contractors · National industry 270 $54,970
Manufacturing · Sector 180 $49,010
Temporary Help Services · National industry 180 $50,440

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Engineering Services · National industry 39.43× 16,770
Utilities · Sector 10.46× 2,230
Professional, Scientific, and Technical Services · Sector 9.59× 38,010
Research and Development in the Social Sciences and Humanities · National industry 6.26× 140
Power and Communication Line and Related Structures Construction · National industry 3.72× 320
Mining, Quarrying, and Oil and Gas Extraction · Sector 2.04× 430
Administrative and Support and Waste Management and Remediation Services · Sector 1.41× 4,690
Construction · Sector 0.69× 2,060

Part of the Energy & Natural Resources career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Surveying and Mapping Technicians sits at the 68th percentile of AI task-overlap and the 37th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Surveying and Mapping Technicians Geological Technicians, Except Hydrologic Technicians Geodetic Surveyors Geoscientists, Except Hydrologists and Geographers Remote Sensing Technicians Hydrologic Technicians Remote Sensing Scientists and Technologists Cartographers and Photogrammetrists Architectural and Civil Drafters AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Surveying and Mapping Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 52nd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Surveying and Mapping Technicians show 68th-percentile AI task overlap — and about 7,600 annual U.S. openings

  • Surveying and Mapping Technicians rank in the 68th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 7,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+4.5%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $51,940, across about 56,720 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Surveying and Mapping Technicians show 68th-percentile AI task overlap — and about 7,600 annual U.S. openings

• Surveying and Mapping Technicians rank in the 68th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 7,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+4.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $51,940, across about 56,720 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Surveying and Mapping Technicians". https://singulariki.com/roles/role-17-3031-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Surveying and Mapping Technicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-17-3031-00

APA

Singulariki. (2026). Surveying and Mapping Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-17-3031-00

BibTeX
@misc{singulariki-role-17-3031-00,
  title  = {Surveying and Mapping Technicians},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-17-3031-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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