Medium AI Risk Average

Environmental science teachers, postsecondary

SOC Code: 25-1053

Environmental science teachers, postsecondary carries a 32% AI exposure score (Medium automation risk), with a median annual wage of $87,710 and +2.9% projected employment growth from 2024 to 2034 (BLS), affecting approximately 9,000 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
32% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+2.9%
2024–2034 (BLS)
+300 jobs
Median Annual Wage
$87,710
BLS May 2024
How wage figures are sourced →
The verdict

At 32% AI exposure, Environmental science teachers, postsecondary sits 5 points below the 37.2% average across 832 U.S. occupations - more exposed than 38% of them. Most of its core tasks still require human judgment.

32%
AI exposure
38th
percentile
+2.9%
Job growth 2024–34
$87,710
Median wage

Where Environmental science teachers, postsecondary sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Environmental science teachers, postsecondary marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 62% by AI exposure Higher AI exposure than 38% of all 832 occupations.

Environmental science teachers, postsecondary has ai exposure of 32%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Environmental science teachers, postsecondary vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Environmental science teachers, postsecondary is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk25.4%28.9%32.5%36.1%39.6%-3.0%2.3%7.7%13.0%18.3%AI exposure (%) →Projected growth (%) →Environmental sciencTeaching assistantsElementary school teSecondary school teaMiddle school teachePreschool teachersSubstitute teachersSelf-enrichment teacHealth specialties tInstructional coordiSpecial education teTutors

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

9,000
Employment 2024
9,300
Projected 2034
+2.9%
Change (%)
+300
Change (jobs)

Occupation Insight

Environmental science teachers, postsecondary (SOC 25-1053) 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 9,000 workers in this occupation in 2024, and projects a +2.9% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $87,710, 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 Environmental science 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

Typical Education
Doctoral or professional degree
Work Experience
None
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Evaluate and grade students' class work, laboratory work, assignments, and papers.
  2. 2. Prepare course materials, such as syllabi, homework assignments, and handouts.
  3. 3. Supervise students' laboratory and field work.
  4. 4. Advise students on academic and vocational curricula and on career issues.
  5. 5. Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
  6. 6. Supervise undergraduate or graduate teaching, internship, and research work.
  7. 7. Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.
  8. 8. Initiate, facilitate, and moderate classroom discussions.
  9. 9. Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
  10. 10. Maintain student attendance records, grades, and other required records.

Key Skills Required

  • Reading Comprehension
  • Speaking
  • Active Listening
  • Writing
  • Science
  • Critical Thinking
  • Learning Strategies
  • Instructing
  • Active Learning
  • Monitoring

Knowledge Areas

  • Education and Training
  • English Language
  • Biology
  • Chemistry
  • Mathematics
  • Computers and Electronics
  • Geography
  • Engineering and Technology
  • Administration and Management
  • Physics

Frequently Asked Questions

Will AI replace Environmental science teachers, postsecondary?

Environmental science 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 Environmental science teachers, postsecondary?

According to BLS Employment Projections 2024-2034, Environmental science teachers, postsecondary is projected to grow by 2.9% over the decade. Current employment stands at approximately 9,000 workers.

What skills are needed for Environmental science teachers, postsecondary?

Key skills for Environmental science teachers, postsecondary include Reading Comprehension, Speaking, Active Listening, and others. Typical entry-level education is Doctoral or professional degree.

How much do Environmental science teachers, postsecondary earn?

The median annual wage for Environmental science teachers, postsecondary is $87,710, 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 Environmental science teachers, postsecondary?

The typical entry-level education for Environmental science 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 Environmental science teachers, postsecondary?

Environmental science 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

1.6
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

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).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.