Skip to content
Singulariki

Surveyors

Occupation · SOC 17-1022.00

Make exact measurements and determine property boundaries. Provide data relevant to the shape, contour, gravitation, location, elevation, or dimension of land or land features on or near the earth's surface for engineering, mapmaking, mining, land evaluation, construction, and other purposes.

Also called: County Surveyor · Land Surveyor · Licensed Land Surveyor · Surveyor · City Surveyor · Mine Surveyor · Professional Land Surveyor · Registered Land Surveyor · Staff Land Surveyor · State Surveyor · Construction Surveyor · Field Inspector

Job family: Architecture and Engineering Occupations

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-17-1022-00/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.

Use as a copilot

Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.

  • Develop criteria for the design and modification of survey instruments. · 0.5%
See collaboration patterns →

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Develop criteria for the design and modification of survey instruments. · 89.1% need a human
See the boundary tasks →

58th-percentile task overlap — yet about 3,900 openings a year (+4.4% projected, BLS), and observed AI use leans 5217% copilot, not hand-off (AEI) . 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 52nd 0.1
LLM task exposure, γ (OpenAI / Eloundou) High 73rd 0.9
AI assistant applicability (Microsoft) Moderate 51st 0.1

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.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

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 0.4 · 43rd percentile among occupations · Moderate

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.

Develop criteria for the design and modification of survey instruments. 1.6%
Analyze survey objectives and specifications to prepare survey proposals or to direct others in survey proposal preparation. 1.3%

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 · +4.4% by 2034
Projected annual openings 3,900
Employment 2024 → 2034 56,100 → 58,600

“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.

44% mean task exposure (2025)
82nd percentile of 427 placed occupations
+6 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Cartographers and Surveyors · 2165 44% Gradient 2

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.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Augmentation vs. automation 52.2% working with AI · 34.8% handed to AI
Most common way people use AI here Iteration · you and AI go back and forth
Typical AI autonomy 4.0 / 5 · higher = AI acts more independently

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
Develop criteria for the design and modification of survey instruments. Iteration 0.5%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Develop criteria for the design and modification of survey instruments. 89.1%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me develop criteria for the design and modification of survey instruments.

    From: Develop criteria for the design and modification of survey instruments. · 0.5% of measured AI use · task iteration

Tasks

All 24 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

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

Knowledge

Mathematics 4.7
Engineering and Technology 4.3
Geography 4.0
Computers and Electronics 4.0
Customer and Personal Service 3.7
Design 3.7
Building and Construction 3.7
Administration and Management 3.6
English Language 3.5
Law and Government 3.5
Education and Training 3.4

Essential skills

Mathematics 4.0
Reading Comprehension 3.9
Writing 3.8
Critical Thinking 3.8
Speaking 3.6
Active Listening 3.5
Active Learning 3.3
Learning Strategies 3.1

Abilities

Written Comprehension 4.0
Deductive Reasoning 4.0
Mathematical Reasoning 4.0
Written Expression 3.9
Inductive Reasoning 3.9
Near Vision 3.9
Oral Comprehension 3.8
Oral Expression 3.8
Number Facility 3.8
Problem Sensitivity 3.6
Information Ordering 3.6
Far Vision 3.6
Speech Recognition 3.6
Speech Clarity 3.6
Category Flexibility 3.1
Flexibility of Closure 3.1
Perceptual Speed 3.1

Transferable skills

Coordination 3.5
Judgment and Decision Making 3.3
Complex Problem Solving 3.1
Time Management 3.1

Skills in demand

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

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
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
ESRI ArcGIS software Geographic information system Hot technology
Microsoft Word Word processing software Hot technology
Autodesk AutoCAD Land Desktop Computer aided design CAD software
Bentley GeoPak Bridge Graphics or photo imaging software
Bentley Systems InRoads Suite Map creation software
Cadcorp desktop GIS Geographic information system
Carlson SurvCADD Computer aided design CAD software
Carlson SurvCE Analytical or scientific software
Carlson Survey Map creation software
CE SURVEYOR III Analytical or scientific software
CloudWorks Application server software
CMT Incorporated CogoCAD Computer aided design CAD software
Computer aided design and drafting software CADD Computer aided design CAD software
Crones & Associations Project Tracker Pro Project management software
Cyclone Data conversion software
Data logging software Data base user interface and query software
Data transfer software Document management software
Drafting software Map creation software
ESRI ArcView Geographic information system
Geocomp Systems GeoNav Analytical or scientific software
Geodetic software Analytical or scientific software
Geographic information system GIS software Geographic information system
Geographic information system GIS systems Geographic information system
Geomechanical design analysis GDA software Map creation software
Global positioning system GPS software Mobile location based services software
HYPACK HYSWEEP Analytical or scientific software
HYPACK MAX Analytical or scientific software
Latitude software Office suite software
MicroSurvey FieldGenius Analytical or scientific software
MicroSurveyCAD Computer aided design CAD software
NOAA Shoreline Data Explorer Route navigation software
PC-Mapper software Map creation software
Project analysis and costing software Project management software
Project data integration software Project management software
Sharetech Tabs Plus Time accounting software

Showing the top 40 of 47.

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 5.0
Importance of Being Exact or Accurate 4.8
Telephone Conversations 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.5
Outdoors, Exposed to All Weather Conditions 4.5
Contact With Others 4.3
Work With or Contribute to a Work Group or Team 4.3
Time Pressure 4.3
Written Letters and Memos 4.2
Impact of Decisions on Co-workers or Company Results 4.1
Freedom to Make Decisions 4.0
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.0
Frequency of Decision Making 4.0
Health and Safety of Other Workers 3.9
Work Outcomes and Results of Other Workers 3.9
Importance of Repeating Same Tasks 3.8
Indoors, Environmentally Controlled 3.7
Deal With External Customers or the Public in General 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.6
In an Enclosed Vehicle or Operate Enclosed Equipment 3.6
Determine Tasks, Priorities and Goals 3.6
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.6
Consequence of Error 3.5
Exposed to Very Hot or Cold Temperatures 3.5
Physical Proximity 3.4
Exposed to Minor Burns, Cuts, Bites, or Stings 3.4
Spend Time Standing 3.3
Level of Competition 3.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
Spend Time Walking or Running 3.1
Spend Time Sitting 3.1
Exposed to Hazardous Equipment 3.0
Indoors, Not Environmentally Controlled 3.0
Conflict Situations 2.9
Dealing With Unpleasant, Angry, or Discourteous People 2.8
Spend Time Making Repetitive Motions 2.8
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.7
Exposed to Contaminants 2.6
Spend Time Bending or Twisting Your Body 2.4
Degree of Automation 2.4

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

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

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 47.4%
Some College Courses 21.1%
High School Diploma 15.8%
Associate's Degree (or other 2-year degree) 10.5%
Post-Secondary Certificate 5.3%

Interests & work styles

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

Career interests (Holland / RIASEC)

Conventional 5.3
Realistic 5.3
Investigative 4.7
Artistic 2.1

Interest areas

Mathematics/Statistics 4.0
Engineering 3.9
Nature/Outdoors 3.2
Law 2.9
Physical/Manual Labor 2.2
Mechanics/Electronics 2.2
Management/Administration 2.2
Construction/Woodwork 2.2
Office Work 2.1

Work styles

Dependability 4.0
Attention to Detail 3.0
Cautiousness 2.2

Wages & employment

U.S. · annual wages (BLS OEWS)

$44k10th$54k25th$73kMedian$95k75th$116k90th
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.
56k202459k2034 (proj.)+4.4% · 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 $43,680
25th percentile $53,590
Median (50th) $72,740
75th percentile $94,550
90th percentile $116,330
People employed 53,080

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 40,270 $67,870
Engineering Services · National industry 18,560 $75,130
Construction · Sector 5,050 $72,800
Mining, Quarrying, and Oil and Gas Extraction · Sector 1,590 $86,050
Administrative and Support and Waste Management and Remediation Services · Sector 690 $75,840
Electrical Contractors and Other Wiring Installation Contractors · National industry 510 $49,090
Utilities · Sector 500 $91,870
Power and Communication Line and Related Structures Construction · National industry 350 $54,900
Poured Concrete Foundation and Structure Contractors · National industry 290 $61,590
Management of Companies and Enterprises · Sector 240 $82,820
Transportation and Warehousing · Sector 210 $76,430
Temporary Help Services · National industry 160 $48,530

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 46.63× 18,560
Professional, Scientific, and Technical Services · Sector 10.86× 40,270
Mining, Quarrying, and Oil and Gas Extraction · Sector 8.05× 1,590
Power and Communication Line and Related Structures Construction · National industry 4.34× 350
Poured Concrete Foundation and Structure Contractors · National industry 3.26× 290
Utilities · Sector 2.51× 500
Construction · Sector 1.81× 5,050
Electrical Contractors and Other Wiring Installation Contractors · National industry 1.38× 510

Part of the Construction and Energy & Natural Resources career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Surveyors sits at the 58th percentile of AI task-overlap and the 62nd percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Surveyors Geological Technicians, Except Hydrologic Technicians Geoscientists, Except Hydrologists and Geographers Government Property Inspectors and Investigators Surveying and Mapping Technicians 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 Surveyors — 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 82nd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Surveyors show 58th-percentile AI task overlap — and about 3,900 annual U.S. openings

  • Surveyors rank in the 58th percentile (Moderate 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 3,900 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 (+4.4%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $72,740, across about 53,080 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 52% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Surveyors show 58th-percentile AI task overlap — and about 3,900 annual U.S. openings

• Surveyors rank in the 58th percentile (Moderate 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 3,900 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 (+4.4%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $72,740, across about 53,080 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 52% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2)

Source: Singulariki — "Surveyors". https://singulariki.com/roles/role-17-1022-00
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. "Surveyors." 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-17-1022-00

APA

Singulariki. (2026). Surveyors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-17-1022-00

BibTeX
@misc{singulariki-role-17-1022-00,
  title  = {Surveyors},
  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-17-1022-00}
}

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

Embed this chart

Paste this into any page. It links back here for attribution.