Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →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
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-17-3031-00/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
68th-percentile task overlap — yet about 7,600 openings a year (+4.5% projected, BLS) . What exposure means →
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.
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.
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
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% |
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.
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.
| 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.
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.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| 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 |
| 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 |
| 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 |
| 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 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.
Showing the top 40 of 101.
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.
What to study: Engineering/Engineering-Related Technologies/Technicians , Social Sciences . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 5.9 | |
| Conventional | 5.6 | |
| Investigative | 4.0 | |
| Artistic | 1.9 |
| 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 |
| Attention to Detail | 2.7 | |
| Dependability | 2.3 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $36,910 |
| 25th percentile | $44,180 |
| Median (50th) | $51,940 |
| 75th percentile | $65,240 |
| 90th percentile | $80,870 |
| People employed | 56,720 |
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 |
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.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
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.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 52nd percentile of 427 international occupations.
Surveying and Mapping Technicians show 68th-percentile AI task overlap — and about 7,600 annual U.S. openings
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.
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.
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
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
@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.