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Engineering Teachers, Postsecondary

Education, Training, and Library · SOC 25-1032

35.9% AI Exposure — Very High
$109,270
Median Annual Salary
Bright ↗
O*NET Outlook
4,700
Proj. Annual Openings
40,270
Employment (OEWS 2025)
+1.8%/yr
Empl. growth (2019–2025)
64/100
AI Resiliency Score

AI exposure from the Anthropic Economic Index (2025); salary from BLS; skills from O*NET. See /sources.

Decision card

Career Evidence Passport

SOC 25-1032 evidence across exposure, wages, projections, postings, certified LCAs, skills, and transitions.

Proxy / seed data labeledDescriptive-only
SOC exposure
35.9%
Very High · Anthropic AEI
Automation friction
60/100
High friction; broad SOC seed ORS job-requirements coverage.
Wages
$109,270
H-1B offered wage $100,000; LCAs are filings.
Projected openings
4,700
BLS EP 2024–2034; employment change +8.1%.
Observed/proxy demand
1,324
FY2025 certified LCAs; 9,683 postings in 2025.

Skill evidence

SpeakingLearning StrategiesInstructingReading ComprehensionActive Listening
  • H-1B values are certified Labor Condition Applications, not visa approvals.
  • Job postings are seed-static / seed-derived; treat as provider-ready proxy coverage until observed provider data is wired in.
  • Transition matches are directional skill-overlap context, not placement guarantees.
  • This release is a FutureGrid broad-SOC seed derived from public BLS ORS requirement concepts and categories, not direct occupation-level ORS survey estimates. It describes job requirements, not worker ability, AI capability, or displacement probability. Automation friction is a FutureGrid derived score and should be read alongside exposure, demand, wage, and projection signals.

Best transitions from here

Explore all pathways

Lower AI-exposure roles that reuse your skills, ranked by a transition score (skills that transfer, safety gain, pay and retraining effort).

AI Exposure Analysis

AI Exposure35.9%
AI Resiliency64/100
Exposure BandVery High
Sector Avg. Exposure17.9%

Across AI measures

Multiple exposure lenses for this occupation.

60.6%
Consensus
Actual adoption · Anthropic35.9%
AI capability · OpenAI50%
AI ability · AIOE95.8%

Top Skills

1.Speaking
2.Learning Strategies
3.Instructing
4.Reading Comprehension
5.Active Listening

H-1B Visa Sponsorship Demand

View full H-1B trends →

Certified H-1B Labor Condition Applications naming this occupation, FY2016–FY2025. A descriptive high-skill labor-demand signal — employer filings, not visa approvals or individual outcomes. Note: one LCA can cover multiple worker positions.

9,870
Decade Total (Certified LCAs)
1,324
FY2025 Volume
0% of all H-1B filings in FY2025
$100,000
Median Offered Wage (Latest Year)
#54 of 776
Rank by Total Volume
H-1B filing volume, FY2016–FY2025

O*NET occupation profile

What this work involves

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.

Common titles: Assistant Professor, Associate Professor, Chemical Engineering Professor, Electrical Engineering Professor, Engineering Instructor, Engineering Professor

Representative Tasks

  • 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.
  • Supervise undergraduate or graduate teaching, internship, and research work.

Detailed Work Activities

  • Research topics in area of expertise.
  • Write articles, books or other original materials in area of expertise.
  • Develop instructional materials.
  • Evaluate student work.
  • Write grant proposals.

Tools & Technologies

Autodesk AutoCAD · hotAutodesk Revit · hotC++ · hotDassault Systemes SolidWorks · hotGoogle Docs · hotMicrosoft Outlook · hotMicrosoft Word · hotOracle Java · hotPython · hotLearning management system LMS

Employment Projections & AI Exposure

15
Occupations Shown
19.4%
Avg AI Exposure
8
Bright Outlook
Horizontal bar chart showing occupations with the highest projected annual openings. Each bar length represents annual projected openings. Color uses a gradient from violet (lower) to cyan (higher). Summary statistics are shown above the chart.

Employment & Wage Trend

BLS OEWS, 2019–2025


Occupation Employment & Wage TrendMulti-year BLS OEWS history for SOC 25-1032: 2019 — employment: 36,080, median wage: $101,010; 2020 — employment: 38,520, median wage: $103,600; 2021 — employment: 35,440, median wage: $104,940; 2022 — employment: 36,010, median wage: $103,550; 2023 — employment: 38,370, median wage: $106,910; 2025 — employment: 40,270, median wage: $109,270.

Source: U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics (OEWS). See /sources.

Sector Comparison

MetricThis CareerSector Average
AI Exposure35.9%17.9%
OutlookBright ↗47% Bright
Median Salary$109,270N/A
AI Resiliency64/100N/A