Medium AI Risk Average

Atmospheric, earth, marine, and space sciences teachers, postsecondary

SOC Code: 25-1051

Atmospheric, earth, marine, and space sciences teachers, postsecondary carries a 33% AI exposure score (Medium automation risk), with a median annual wage of $101,390 and +2.6% projected employment growth from 2024 to 2034 (BLS), affecting approximately 14,000 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
33% Medium
Typical exposure

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

Projected Growth
+2.6%
Typical growth
2024–2034 (BLS)
+400 jobs
Median Annual Wage
$101,390
Above typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 33% AI exposure, Atmospheric, earth, marine, and space sciences teachers, postsecondary sits 4 points below the 37.2% average across 832 U.S. occupations - more exposed than 41% of them. Most of its core tasks still require human judgment.

33%
AI exposure
41st
percentile
+2.6%
Job growth 2024–34
$101,390
Median wage
B-

Career outlook score

66/100

Atmospheric, earth, marine, and space sciences teachers, postsecondary, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage A $101,390

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth C- +2.6%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) C 33% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Atmospheric, earth, marine, and space sciences teachers, postsecondary in the Medium band.

Credential × growth standing

Graduate credential among the thinner entry shelves

Atmospheric, earth, marine, and space sciences teachers, postsecondary is in the Graduate band (113 of 832) with BLS pace Average (378/832). Graduate entry is a minority shelf - pairing it with average growth is the standing that separates this SOC from bachelor-dominated neighbors.

Where Atmospheric, earth, marine, and space sciences 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.

Where Atmospheric, earth, marine, and space sciences teachers, postsecondary sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

33% Lower than most lower than 59% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

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

Atmospheric, earth, marine, and space sciences teachers, postsecondary vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Atmospheric, earth, marine, and space sciences 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 (%) →Atmospheric, AI exposure (%) →: 33% · Projected growth (%) →: 2.6%AtmosphericTeaching assistants, AI exposure (%) →: 35% · Projected growth (%) →: -1.5%Teaching assistantsElementary school te, AI exposure (%) →: 36% · Projected growth (%) →: -2%Elementary school teSecondary school tea, AI exposure (%) →: 39% · Projected growth (%) →: -1.6%Secondary school teaMiddle school teache, AI exposure (%) →: 39% · Projected growth (%) →: -2%Middle school teachePreschool teachers, AI exposure (%) →: 29% · Projected growth (%) →: 4.1%Preschool teachersSubstitute teachers, AI exposure (%) →: 35% · Projected growth (%) →: 1.6%Substitute teachersSelf-enrichment teac, AI exposure (%) →: 35% · Projected growth (%) →: 3.7%Self-enrichment teacHealth specialties t, AI exposure (%) →: 32% · Projected growth (%) →: 17.3%Health specialties tInstructional coordi, AI exposure (%) →: 32% · Projected growth (%) →: 1.3%Instructional coordiSpecial education te, AI exposure (%) →: 35% · Projected growth (%) →: -1.8%Special education teTutors, AI exposure (%) →: 26% · Projected growth (%) →: 0.6%Tutors

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

Employment Projections

14,000
Employment 2024
14,400
Projected 2034
+2.6%
Change (%)
+400
Change (jobs)

Where This Score Comes From

Atmospheric, earth, marine, and space sciences teachers, postsecondary's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the 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 employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 25-1051) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Atmospheric, earth, marine, and space sciences teachers, postsecondary be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

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 Atmospheric, earth, marine, and space sciences teachers, postsecondary. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

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

Top Tasks (O*NET)

  1. 1. Maintain student attendance records, grades, and other required records.
  2. 2. Prepare and deliver lectures to undergraduate or graduate students on topics such as structural geology, micrometeorology, and atmospheric thermodynamics.
  3. 3. Evaluate and grade students' class work, assignments, and papers.
  4. 4. Compile, administer, and grade examinations, or assign this work to others.
  5. 5. Supervise laboratory work and field work.
  6. 6. Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.
  7. 7. Prepare course materials, such as syllabi, homework assignments, and handouts.
  8. 8. Initiate, facilitate, and moderate classroom discussions.
  9. 9. Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
  10. 10. Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.

Key Skills Required

  • Speaking
  • Reading Comprehension
  • Active Listening
  • Writing
  • Science
  • Critical Thinking
  • Instructing
  • Active Learning
  • Learning Strategies
  • Complex Problem Solving

Knowledge Areas

  • Education and Training
  • English Language
  • Mathematics
  • Physics
  • Chemistry
  • Computers and Electronics
  • Biology
  • Geography
  • Customer and Personal Service
  • Communications and Media

Frequently Asked Questions

Will AI replace Atmospheric, earth, marine, and space sciences teachers, postsecondary?

Atmospheric, earth, marine, and space sciences teachers, postsecondary has an AI exposure score of 33%, 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 Atmospheric, earth, marine, and space sciences teachers, postsecondary?

According to BLS Employment Projections 2024-2034, Atmospheric, earth, marine, and space sciences teachers, postsecondary is projected to grow by 2.6% over the decade. Current employment stands at approximately 14,000 workers.

What skills are needed for Atmospheric, earth, marine, and space sciences teachers, postsecondary?

Key skills for Atmospheric, earth, marine, and space sciences teachers, postsecondary include Speaking, Reading Comprehension, Active Listening, and others. Typical entry-level education is Doctoral or professional degree.

How much do Atmospheric, earth, marine, and space sciences teachers, postsecondary earn?

The median annual wage for Atmospheric, earth, marine, and space sciences teachers, postsecondary is $101,390, 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 Atmospheric, earth, marine, and space sciences teachers, postsecondary?

The typical entry-level education for Atmospheric, earth, marine, and space sciences 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 Atmospheric, earth, marine, and space sciences teachers, postsecondary?

Atmospheric, earth, marine, and space sciences 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.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Atmospheric, earth, marine, and space sciences teachers, postsecondary: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (33% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+2.6% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Atmospheric, earth, marine, and space sciences teachers, postsecondary's numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

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).

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.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.