# Tile and Stone Setters

> Apply hard tile, stone, and comparable materials to walls, floors, ceilings, countertops, and roof decks.

- **SOC code:** 47-2044.00
- **Canonical URL:** https://singulariki.com/roles/role-47-2044-00
- **Also known as:** Tile Installer, Tile Mechanic, Tile Setter, Tile and Marble Installer, Ceramic Tile Mechanic, Ceramic Tile Setter, Tile Finisher, Tile Man
- **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):
- Align and straighten tile using levels, squares, and straightedges.
- Finish and dress the joints and wipe excess grout from between tiles, using damp sponge.
- Cut and shape tile to fit around obstacles and into odd spaces and corners, using hand and power cutting tools.
- Determine and implement the best layout to achieve a desired pattern.
- Mix, apply, and spread plaster, concrete, mortar, cement, mastic, glue or other adhesives to form a bed for the tiles, using brush, trowel and screed.
- Study blueprints and examine surface to be covered to determine amount of material needed.
- Measure and mark surfaces to be tiled, following blueprints.
- Lay and set mosaic tiles to create decorative wall, mural, and floor designs.
- Apply mortar to tile back, position the tile, and press or tap with trowel handle to affix tile to base.
- Mix and apply mortar or cement to edges and ends of drain tiles to seal halves and joints.
- Apply a sealer to make grout stain- and water-resistant.
- Level concrete and allow to dry.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Building and Construction _(knowledge)_
- Visualization _(ability)_
- Near Vision _(ability)_
- Extent Flexibility _(ability)_
- Problem Sensitivity _(ability)_
- Trunk Strength _(ability)_
- Mathematics _(knowledge)_
- Information Ordering _(ability)_
- Active Listening _(essential_skill)_
- Oral Comprehension _(ability)_
- Category Flexibility _(ability)_
- Arm-Hand Steadiness _(ability)_

**Skills in demand:**
- Visualization _(Specialized Skill)_
- Mathematics _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Finger Dexterity _(Common Skill)_
- Active Listening _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Inductive Reasoning _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Salesforce software _(hot technology)_
- Aya Associates Comp-U-Floor
- EasyCAD Iris 2D
- Measure Square FloorEstimate Pro
- TileGem

## AI exposure & outlook

- **AI task-overlap index:** 13th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 10th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 20th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 19th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 61st percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 10.1% growth (Growing fast); 4.2k annual openings; 52.6k → 58k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $52,240; 38,740 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-47-2044-00_