# Engineering Teachers, Postsecondary

> Teach courses pertaining to the application of physical laws and principles of engineering for the development of machines, materials, instruments, processes, and services. Includes teachers of subjects such as chemical, civil, electrical, industrial, mechanical, mineral, and petroleum engineering. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

- **SOC code:** 25-1032.00
- **Canonical URL:** https://singulariki.com/roles/role-25-1032-00
- **Also known as:** Assistant Professor, Associate Professor, Instructor, Professor, Chemical Engineering Professor, Electrical Engineering Professor, Engineering Instructor, Engineering Professor
- **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):
- Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
- Prepare course materials, such as syllabi, homework assignments, and handouts.
- Evaluate and grade students' class work, laboratory work, assignments, and papers.
- Write grant proposals to procure external research funding.
- Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
- Supervise undergraduate or graduate teaching, internship, and research work.
- Prepare and deliver lectures to undergraduate or graduate students on topics such as mechanics, hydraulics, and robotics.
- Initiate, facilitate, and moderate class discussions.
- Supervise students' laboratory work.
- Compile, administer, and grade examinations, or assign this work to others.
- Collaborate with colleagues to address teaching and research issues.
- Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Engineering and Technology _(knowledge)_
- Design _(knowledge)_
- Computers and Electronics _(knowledge)_
- Mathematics _(knowledge)_
- Oral Expression _(ability)_
- English Language _(knowledge)_
- Speech Clarity _(ability)_
- Physics _(knowledge)_
- Speaking _(essential_skill)_
- Learning Strategies _(essential_skill)_
- Instructing _(transferable_skill)_
- Written Comprehension _(ability)_

**Skills in demand:**
- Mathematics _(Common Skill)_
- English Language _(Common Skill)_
- Physics _(Specialized Skill)_
- Learning Strategies _(Specialized Skill)_
- Instructing _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Active Listening _(Common Skill)_
- Writing _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Speech Recognition _(Specialized Skill)_

**Tools & technology:**
- Autodesk AutoCAD _(hot technology)_
- Autodesk Revit _(hot technology)_
- C++ _(hot technology)_
- Dassault Systemes SolidWorks _(hot technology)_
- Google Docs _(hot technology)_
- JavaScript _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft Word _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 92nd percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 92nd percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 72nd percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 95th percentile (High) — source: microsoft_applicability.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 8.1% growth (Growing fast); 4.1k annual openings; 50.3k → 54.4k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $106,120; 39,910 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 29% automation, 67% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Advise students on academic and vocational curricula and on career issues. _(23.7% of measured AI use; task iteration)_
- Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media. _(13.9% of measured AI use; learning)_
- Provide professional consulting services to government or industry. _(12.8% of measured AI use; task iteration)_
- Prepare and deliver lectures to undergraduate or graduate students on topics such as mechanics, hydraulics, and robotics. _(10.7% of measured AI use; learning)_
- Compile, administer, and grade examinations, or assign this work to others. _(10.6% of measured AI use; directive)_
- Prepare course materials such as syllabi, homework assignments, and handouts. _(3.8% of measured AI use; directive)_
- Compile bibliographies of specialized materials for outside reading assignments. _(2.9% of measured AI use; directive)_
- Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction. _(2.2% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me advise students on academic and vocational curricula and on career issues.
- Help me conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
- Help me provide professional consulting services to government or industry.
- Help me prepare and deliver lectures to undergraduate or graduate students on topics such as mechanics, hydraulics, and robotics.
- Help me compile, administer, and grade examinations, or assign this work to others.

## 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
- **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-25-1032-00_