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

> 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.

- **SOC code:** 47-3011.00
- **Canonical URL:** https://singulariki.com/roles/role-47-3011-00
- **Also known as:** Bricklayer Helper, Hod Carrier, Marble Finisher Helper, Mason Tender, Restoration Labor Mason Tender, Adobe Layer Helper, Boat Joiner Helper, Boring Machine Operator Helper
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Mix mortar, plaster, and grout, manually or using machines, according to standard formulas.
- Erect scaffolding or other installation structures.
- Cut materials to specified sizes for installation, using power saws or tile cutters.
- Modify material moving, mixing, grouting, grinding, polishing, or cleaning procedures, according to installation or material requirements.
- Provide assistance in the preparation, installation, repair, or rebuilding of tile, brick, or stone surfaces.
- Transport materials, tools, or machines to installation sites, manually or using conveyance equipment.
- Locate and supply materials to masons for installation, following drawings or numbered sequences.
- Arrange or store materials, machines, tools, or equipment.
- Clean installation surfaces, equipment, tools, work sites, or storage areas, using water, chemical solutions, oxygen lances, or polishing machines.
- Move or position materials such as marble slabs, using cranes, hoists, or dollies.
- Remove excess grout or residue from tile or brick joints, using sponges or trowels.
- Apply grout between joints of bricks or tiles, using grouting trowels.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Building and Construction _(knowledge)_
- Trunk Strength _(ability)_
- Multilimb Coordination _(ability)_
- Static Strength _(ability)_
- Arm-Hand Steadiness _(ability)_
- Near Vision _(ability)_
- Manual Dexterity _(ability)_
- Extent Flexibility _(ability)_
- Far Vision _(ability)_
- Mechanical _(knowledge)_
- Design _(knowledge)_
- Information Ordering _(ability)_

**Skills in demand:**
- Visualization _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Mathematics _(Common Skill)_
- Time Management _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Visio _(Specialized Skill)_
- Microsoft SharePoint _(Specialized Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Microsoft Access _(Specialized Skill)_
- Finger Dexterity _(Common Skill)_
- Depth Perception _(Common Skill)_

**Tools & technology:**
- Autodesk Revit _(hot technology)_
- Intuit QuickBooks _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft Visio _(hot technology)_
- Microsoft Word _(hot technology)_
- Aya Associates Comp-U-Floor
- Computer aided design and drafting CADD software
- Construction Management Software ProEst

## AI exposure & outlook

- **AI task-overlap index:** 4th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 1st percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 3rd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 18th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 68th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -10.5% growth (Declining); 1.4k annual openings; 16.1k → 14.4k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $46,480; 15,660 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-47-3011-00_