# Helpers--Carpenters

> Help carpenters by performing duties requiring less skill. Duties include using, supplying, or holding materials or tools, and cleaning work area and equipment.

- **SOC code:** 47-3012.00
- **Canonical URL:** https://singulariki.com/roles/role-47-3012-00
- **Also known as:** Carpenter Assistant, Carpenter Helper, Carpenter's Helper, Beam Builder Helper, Building Carpenter Helper, Cabinetmaker Helper, Carpenter Mate, Construction Carpenter's 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):
- Clean work areas, machines, or equipment, to maintain a clean and safe job site.
- Fasten timbers or lumber with glue, screws, pegs, or nails and install hardware.
- Perform tie spacing layout and measure, mark, drill or cut.
- Select tools, equipment, or materials from storage and transport items to work site.
- Drill holes in timbers or lumber.
- Cut timbers, lumber, or paneling to specified dimensions.
- Position and hold timbers, lumber, or paneling in place for fastening or cutting.
- Align, straighten, plumb, or square forms for installation.
- Hold plumb bobs, sighting rods, or other equipment to aid in establishing reference points and lines.
- Erect scaffolding, shoring, or braces.
- Construct forms and assist in raising them to the required elevation.
- Install handrails under the direction of a carpenter.

**Emerging tasks** (O*NET):
- Cut or weld metal.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Building and Construction _(knowledge)_
- Mechanical _(knowledge)_
- Mathematics _(knowledge)_
- Transportation _(knowledge)_
- English Language _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Near Vision _(ability)_
- Production and Processing _(knowledge)_
- Design _(knowledge)_
- Arm-Hand Steadiness _(ability)_
- Manual Dexterity _(ability)_
- Public Safety and Security _(knowledge)_

**Skills in demand:**
- Mathematics _(Common Skill)_
- English Language _(Common Skill)_
- Telecommunications _(Specialized Skill)_
- Visualization _(Specialized Skill)_
- Unix _(Specialized Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Windows _(Common Skill)_
- Microsoft SharePoint _(Specialized Skill)_
- Microsoft PowerPoint _(Common Skill)_
- Microsoft Outlook _(Common Skill)_

**Tools & technology:**
- Intuit QuickBooks _(hot technology)_
- Linux _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle Database _(hot technology)_
- Salesforce software _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 2nd percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 6th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 3rd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 5th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 82nd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 4.5% growth (About average); 2.7k annual openings; 25.2k → 26.4k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $41,600; 24,610 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/
- **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-47-3012-00_