Skip to content
Singulariki

Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters

Occupation · SOC 47-3011.00

Help brickmasons, blockmasons, stonemasons, or tile and marble setters by performing duties requiring less skill. Duties include using, supplying, or holding materials or tools, and cleaning work area and equipment.

Also called: Bricklayer Helper · Hod Carrier · Marble Finisher Helper · Mason Tender · Restoration Labor Mason Tender · Adobe Layer Helper · Boat Joiner Helper · Boring Machine Operator Helper · Brick Carrier · Brick Cleaner · Brick Mason Helper · Brick Tender

Job family: Construction and Extraction 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-47-3011-00/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.

4th-percentile task overlap — yet about 1,400 openings a year (-10.5% 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.) Low 1st -1.9
LLM task exposure, γ (OpenAI / Eloundou) Low 3rd 0.0
AI assistant applicability (Microsoft) Low 18th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.0). 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.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

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 0.8 · 68th 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.

Apply caulk, sealants, or other agents to installed surfaces. 0.2%

Job outlook

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

Outlook Declining · -10.5% by 2034
Projected annual openings 1,400
Employment 2024 → 2034 16,100 → 14,400

“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.

9% mean task exposure (2025)
2nd percentile of 427 placed occupations
−1 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Building Construction Labourers · 9313 9% 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 15 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

Building and Construction 4.2
Mechanical 3.2
Design 3.1
Mathematics 3.0
English Language 3.0

Abilities

Trunk Strength 3.6
Multilimb Coordination 3.5
Static Strength 3.5
Arm-Hand Steadiness 3.4
Near Vision 3.4
Manual Dexterity 3.3
Extent Flexibility 3.3
Far Vision 3.3
Information Ordering 3.1
Visualization 3.1
Oral Comprehension 3.0
Deductive Reasoning 3.0
Finger Dexterity 3.0
Control Precision 3.0
Speed of Limb Movement 3.0
Dynamic Strength 3.0
Stamina 3.0
Gross Body Equilibrium 3.0
Depth Perception 3.0
Oral Expression 2.9
Problem Sensitivity 2.9
Category Flexibility 2.9
Perceptual Speed 2.9
Selective Attention 2.9
Rate Control 2.9
Reaction Time 2.9
Gross Body Coordination 2.9
Auditory Attention 2.9

Essential skills

Critical Thinking 3.0
Monitoring 3.0
Active Listening 2.9

Transferable skills

Coordination 3.0
Operation and Control 3.0
Time Management 3.0
Judgment and Decision Making 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 41.

Tools & technology

Example Category
Autodesk Revit Computer aided design CAD software Hot technology
Intuit QuickBooks Accounting software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite 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 Word Word processing software Hot technology
Aya Associates Comp-U-Floor Data base user interface and query software
Computer aided design and drafting CADD software Computer aided design CAD software
Construction Management Software ProEst Analytical or scientific software
CPR Visual Estimator Project management software
Daystar iStructural.com Project management software
EasyCAD Iris 2D Computer aided design CAD software
Measure Square FloorEstimate Pro Project management software
RISA Technologies RISAMasonry Project management software
TileGem Computer aided design CAD software
Tradesman's Software Master Estimator Project management software

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.

Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 5.0
Face-to-Face Discussions with Individuals and Within Teams 4.9
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.5
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 4.5
Time Pressure 4.4
Exposed to Contaminants 4.4
Spend Time Standing 4.4
Outdoors, Exposed to All Weather Conditions 4.3
Work With or Contribute to a Work Group or Team 4.3
Spend Time Making Repetitive Motions 4.2
Exposed to High Places 4.2
Exposed to Hazardous Equipment 4.1
Health and Safety of Other Workers 4.0
Work Outcomes and Results of Other Workers 4.0
Spend Time Bending or Twisting Your Body 3.9
Exposed to Very Hot or Cold Temperatures 3.9
Importance of Being Exact or Accurate 3.9
Determine Tasks, Priorities and Goals 3.8
Coordinate or Lead Others in Accomplishing Work Activities 3.7
Physical Proximity 3.6
Telephone Conversations 3.6
Spend Time Climbing Ladders, Scaffolds, or Poles 3.6
Level of Competition 3.6
Contact With Others 3.6
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.6
Spend Time Walking or Running 3.5
Impact of Decisions on Co-workers or Company Results 3.5
Exposed to Cramped Work Space, Awkward Positions 3.5
Consequence of Error 3.4
Exposed to Minor Burns, Cuts, Bites, or Stings 3.4
Pace Determined by Speed of Equipment 3.4
Deal With External Customers or the Public in General 3.3
Indoors, Not Environmentally Controlled 3.3
In an Open Vehicle or Operating Equipment 3.3
Exposed to Extremely Bright or Inadequate Lighting Conditions 3.2
Importance of Repeating Same Tasks 3.1
Frequency of Decision Making 3.1
Freedom to Make Decisions 3.1
Spend Time Kneeling, Crouching, Stooping, or Crawling 3.0
Exposed to Whole Body Vibration 2.9

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
No formal educational credential · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Education of current workers

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

High School Diploma 58.0%
Less than a High School Diploma 24.2%
Post-Secondary Certificate 11.6%
First Professional Degree 6.2%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 7.0
Conventional 3.3
Social 1.9
Artistic 1.6
Investigative 1.4

Interest areas

Physical/Manual Labor 6.6
Construction/Woodwork 2.5
Transportation/Machine Operation 2.4
Engineering 1.9
Mechanics/Electronics 1.4
Mathematics/Statistics 1.3
Applied Arts and Design 1.2

Work styles

Dependability 2.1
Attention to Detail 1.7
Cooperation 1.5
Cautiousness 1.4

Wages & employment

U.S. · annual wages (BLS OEWS)

$36k10th$39k25th$46kMedian$58k75th$68k90th
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.
16k202414k2034 (proj.)-10.5% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $35,570
25th percentile $38,600
Median (50th) $46,480
75th percentile $58,080
90th percentile $68,330
People employed 15,660

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
Construction · Sector 15,320 $46,510
Masonry Contractors · National industry 10,910 $47,150
Poured Concrete Foundation and Structure Contractors · National industry 150 $41,960
Manufacturing · Sector 150 $44,070
Retail Trade · Sector 140 $39,520

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
Masonry Contractors · National industry 748.04× 10,910
Construction · Sector 18.57× 15,320
Poured Concrete Foundation and Structure Contractors · National industry 5.71× 150
Manufacturing · Sector 0.12× 150
Retail Trade · Sector 0.09× 140

Part of the Construction career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters sits at the 4th percentile of AI task-overlap and the 23rd 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 Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons Cement Masons and Concrete Finishers Helpers--Carpenters Refractory Materials Repairers, Except Brickmasons 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 Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters — 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 2nd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters show 4th-percentile AI task overlap — and about 1,400 annual U.S. openings

  • Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters rank in the 4th percentile (Low 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 1,400 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 declining (-10.5%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $46,480, across about 15,660 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters show 4th-percentile AI task overlap — and about 1,400 annual U.S. openings

• Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters rank in the 4th percentile (Low 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 1,400 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 declining (-10.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $46,480, across about 15,660 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters". https://singulariki.com/roles/role-47-3011-00
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. "Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters." 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-47-3011-00

APA

Singulariki. (2026). Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-3011-00

BibTeX
@misc{singulariki-role-47-3011-00,
  title  = {Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters},
  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-47-3011-00}
}

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.