Engineering teachers, postsecondary
SOC Code: 25-1032
Engineering teachers, postsecondary carries a 32% AI exposure score (Medium automation risk), with a median annual wage of $106,120 and +8.1% projected employment growth from 2024 to 2034 (BLS), affecting approximately 50,300 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Engineering teachers, postsecondary (SOC 25-1032) carries an AI exposure score of 32%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The economic context matters alongside the risk score. BLS counted approximately 50,300 workers in this occupation in 2024, and projects a +8.1% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $106,120, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Doctoral or professional degree, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Engineering teachers, postsecondary. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
- 2. Prepare course materials, such as syllabi, homework assignments, and handouts.
- 3. Evaluate and grade students' class work, laboratory work, assignments, and papers.
- 4. Write grant proposals to procure external research funding.
- 5. Supervise undergraduate or graduate teaching, internship, and research work.
- 6. Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
- 7. Prepare and deliver lectures to undergraduate or graduate students on topics such as mechanics, hydraulics, and robotics.
- 8. Initiate, facilitate, and moderate class discussions.
- 9. Supervise students' laboratory work.
- 10. Compile, administer, and grade examinations, or assign this work to others.
Key Skills Required
- Speaking
- Learning Strategies
- Instructing
- Reading Comprehension
- Active Listening
- Writing
- Mathematics
- Critical Thinking
- Judgment and Decision Making
- Active Learning
Knowledge Areas
- Engineering and Technology
- Design
- Computers and Electronics
- Mathematics
- English Language
- Physics
- Education and Training
- Mechanical
- Chemistry
- Administration and Management
Frequently Asked Questions
Will AI replace Engineering teachers, postsecondary?
Engineering teachers, postsecondary has an AI exposure score of 32%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Engineering teachers, postsecondary?
According to BLS Employment Projections 2024-2034, Engineering teachers, postsecondary is projected to grow by 8.1% over the decade. Current employment stands at approximately 50,300 workers.
What skills are needed for Engineering teachers, postsecondary?
Key skills for Engineering teachers, postsecondary include Speaking, Learning Strategies, Instructing, and others. Typical entry-level education is Doctoral or professional degree.
How much do Engineering teachers, postsecondary earn?
The median annual wage for Engineering teachers, postsecondary is $106,120, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Engineering teachers, postsecondary?
The typical entry-level education for Engineering teachers, postsecondary is Doctoral or professional degree. Employers generally expect None of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Engineering teachers, postsecondary?
Engineering teachers, postsecondary roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Related Occupations
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).