# Engine and Other Machine Assemblers

> Construct, assemble, or rebuild machines, such as engines, turbines, and similar equipment used in such industries as construction, extraction, textiles, and paper manufacturing.

- **SOC code:** 51-2031.00
- **Canonical URL:** https://singulariki.com/roles/role-51-2031-00
- **Also known as:** Assembler, Assembly Line Worker, Engine Assembler, Machine Assembler, Cell Technician, Engine Builder, Field Service Technician, Fitter
- **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):
- Read and interpret assembly blueprints or specifications manuals, and plan assembly or building operations.
- Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications.
- Position or align components for assembly, manually or using hoists.
- Set and verify parts clearances.
- Verify conformance of parts to stock lists or blueprints, using measuring instruments such as calipers, gauges, or micrometers.
- Fasten or install piping, fixtures, or wiring and electrical components to form assemblies or subassemblies, using hand tools, rivet guns, or welding equipment.
- Remove rough spots and smooth surfaces to fit, trim, or clean parts, using hand tools or power tools.
- Lay out and drill, ream, tap, or cut parts for assembly.
- Rework, repair, or replace damaged parts or assemblies.
- Assemble systems of gears by aligning and meshing gears in gearboxes.
- Set up and operate metalworking machines, such as milling or grinding machines, to shape or fabricate parts.
- Maintain and lubricate parts or components.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Mechanical _(knowledge)_
- Arm-Hand Steadiness _(ability)_
- Manual Dexterity _(ability)_
- Finger Dexterity _(ability)_
- Production and Processing _(knowledge)_
- Operations Monitoring _(transferable_skill)_
- Near Vision _(ability)_
- Visualization _(ability)_
- Customer and Personal Service _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Quality Control Analysis _(transferable_skill)_
- Problem Sensitivity _(ability)_

**Skills in demand:**
- Finger Dexterity _(Common Skill)_
- Visualization _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Speech Recognition _(Specialized Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Mathematics _(Common Skill)_

**Tools & technology:**
- Dassault Systemes SolidWorks _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Word _(hot technology)_
- SAP software _(hot technology)_
- Computer aided design and drafting CADD software

## AI exposure & outlook

- **AI task-overlap index:** 25th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 20th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 24th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 37th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 66th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -21.1% growth (Declining); 2.8k annual openings; 38.4k → 30.3k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $52,540; 38,420 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Autonomy median:** 3.0 (higher = AI acts more independently).

**Tasks most handed to AI here:**
- Verify conformance of parts to stock lists or blueprints, using measuring instruments, such as calipers, gauges, or micrometers. _(0.3% of measured AI use)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me verify conformance of parts to stock lists or blueprints, using measuring instruments, such as calipers, gauges, or micrometers.

## 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-51-2031-00_