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English Language and Literature Teachers, Postsecondary

Occupation · SOC 25-1123.00

Teach courses in English language and literature, including linguistics and comparative literature. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

Also called: English Instructor · English Professor · Instructor · Professor · Assistant Professor · Associate Professor · Creative Writing Professor · Humanities Professor · Lecturer · Literature Professor · Adjunct English Instructor · Adjunct Instructor

Job family: Educational Instruction and Library Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-25-1123-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

Often handed to AI

Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.

  • Compile, administer, and grade examinations, or assign this work to others. · 10.6%
See how AI is used here →

Use as a copilot

Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.

  • Assist students who need extra help with their coursework outside of class. · 273.5%
  • Evaluate and grade students' class work, assignments, and papers. · 25.7%
  • Advise students on academic and vocational curricula and on career issues. · 23.7%
See collaboration patterns →

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Select and obtain materials and supplies such as textbooks. · 100.0% need a human
  • Maintain regularly scheduled office hours to advise and assist students. · 100.0% need a human
  • Collaborate with colleagues to address teaching and research issues. · 100.0% need a human
See the boundary tasks →

91st-percentile task overlap — yet about 5,100 openings a year (+0% projected, BLS), and observed AI use leans 6322% copilot, not hand-off (AEI) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) High 97th 1.4
LLM task exposure, γ (OpenAI / Eloundou) Moderate 65th 0.8
AI assistant applicability (Microsoft) High 94th 0.3

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.3), with simple added tooling (β 0.5), and including AI-powered software (γ 0.8). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Assist students who need extra help with their coursework outside of class. 62.1%
Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction. 17.8%
Evaluate and grade students' class work, assignments, and papers. 17.5%
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences. 10.5%
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media. 9.6%
Write original literary pieces. 9.0%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · 0.0% by 2034
Projected annual openings 5,100
Employment 2024 → 2034 72,200 → 72,200

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

37% mean task exposure (2025)
70th percentile of 427 placed occupations
+5 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
University and Higher Education Teachers · 2310 37% Minimal

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Augmentation vs. automation 63.2% working with AI · 34.8% handed to AI
Most common way people use AI here Iteration · you and AI go back and forth
Typical AI autonomy 4.0 / 5 · higher = AI acts more independently
Used for work (vs. personal / coursework) 12.0%

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
Assist students who need extra help with their coursework outside of class. Iteration 273.5%
Evaluate and grade students' class work, assignments, and papers. Validation 25.7%
Advise students on academic and vocational curricula and on career issues. Iteration 23.7%
Provide assistance to students in college writing centers. Iteration 17.8%
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media. Learning 13.9%
Provide professional consulting services to government or industry. Iteration 12.8%
Compile, administer, and grade examinations, or assign this work to others. Directive 10.6%
Prepare and deliver lectures to undergraduate or graduate students on topics such as poetry, novel structure, and translation and adaptation. Learning 6.8%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Select and obtain materials and supplies such as textbooks. 100.0%
Maintain regularly scheduled office hours to advise and assist students. 100.0%
Collaborate with colleagues to address teaching and research issues. 100.0%
Participate in campus and community events. 100.0%
Write grant proposals to procure external research funding. 100.0%
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues. 100.0%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me assist students who need extra help with their coursework outside of class.

    From: Assist students who need extra help with their coursework outside of class. · 273.5% of measured AI use · task iteration

  • Help me evaluate and grade students' class work, assignments, and papers.

    From: Evaluate and grade students' class work, assignments, and papers. · 25.7% of measured AI use · validation

  • Help me advise students on academic and vocational curricula and on career issues.

    From: Advise students on academic and vocational curricula and on career issues. · 23.7% of measured AI use · task iteration

  • Help me provide assistance to students in college writing centers.

    From: Provide assistance to students in college writing centers. · 17.8% of measured AI use · task iteration

Tasks

All 33 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Abilities

Written Comprehension 4.9
Oral Expression 4.6
Oral Comprehension 4.3
Written Expression 4.3
Speech Clarity 4.0
Deductive Reasoning 3.9
Inductive Reasoning 3.9
Near Vision 3.5
Problem Sensitivity 3.4
Speech Recognition 3.4
Fluency of Ideas 3.3
Originality 3.3
Category Flexibility 3.1

Essential skills

Reading Comprehension 4.8
Writing 4.3
Speaking 4.1
Active Listening 4.0
Learning Strategies 4.0
Active Learning 3.9
Critical Thinking 3.8
Monitoring 3.6

Knowledge

English Language 4.7
Education and Training 4.5
Communications and Media 4.1
History and Archeology 3.8
Philosophy and Theology 3.7
Sociology and Anthropology 3.7
Customer and Personal Service 3.5
Computers and Electronics 3.4
Psychology 3.3
Administrative 3.0

Transferable skills

Instructing 4.6
Judgment and Decision Making 3.4
Complex Problem Solving 3.3
Social Perceptiveness 3.1
Service Orientation 3.1
Time Management 3.1
Coordination 3.0
Persuasion 3.0
Negotiation 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 43.

Tools & technology

Example Category
Adobe Illustrator Graphics or photo imaging software Hot technology
Adobe Photoshop Graphics or photo imaging software Hot technology
Apple Safari Internet browser software Hot technology
Google Docs Word processing software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Learning management system LMS Computer based training software In demand
Adobe Acrobat Reader Document management software
Apple QuickTime Video creation and editing software
Blackboard Collaborate Computer based training software
Blackboard Learn Computer based training software
Blackboard software Data base user interface and query software
Collaborative editing software Word processing software
Course management system software Computer based training software
Desire2Learn LMS software Computer based training software
DOC Cop Information retrieval or search software
Email software Electronic mail software
Google Chrome Internet browser software
Graphics creation software Graphics or photo imaging software
Image scanning software Optical character reader OCR or scanning software
iParadigms Turnitin Information retrieval or search software
Lucidchart Process mapping and design software
Moodle Computer based training software
Sakai CLE Computer based training software
VLC Media Player Music or sound editing software
Web browser software Internet browser software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

E-Mail 4.8
Determine Tasks, Priorities and Goals 4.7
Indoors, Environmentally Controlled 4.6
Freedom to Make Decisions 4.6
Contact With Others 4.4
Public Speaking 4.3
Face-to-Face Discussions with Individuals and Within Teams 4.2
Coordinate or Lead Others in Accomplishing Work Activities 3.9
Time Pressure 3.8
Importance of Being Exact or Accurate 3.7
Work With or Contribute to a Work Group or Team 3.6
Spend Time Sitting 3.5
Written Letters and Memos 3.5
Deal With External Customers or the Public in General 3.3
Impact of Decisions on Co-workers or Company Results 3.2
Frequency of Decision Making 3.2
Telephone Conversations 3.1
Physical Proximity 3.0
Level of Competition 2.9
Spend Time Standing 2.7
Importance of Repeating Same Tasks 2.6
Dealing With Unpleasant, Angry, or Discourteous People 2.6
Work Outcomes and Results of Other Workers 2.5
Conflict Situations 2.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.3
Health and Safety of Other Workers 1.8
Spend Time Making Repetitive Motions 1.7
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 1.7
Spend Time Walking or Running 1.7
Degree of Automation 1.6
Consequence of Error 1.6
Indoors, Not Environmentally Controlled 1.4
Exposed to Contaminants 1.4
Exposed to Disease or Infections 1.3
Exposed to Very Hot or Cold Temperatures 1.2
Dealing with Violent or Physically Aggressive People 1.1
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.1
Spend Time Bending or Twisting Your Body 1.1
Pace Determined by Speed of Equipment 1.0
Outdoors, Under Cover 1.0

How to get in

Job zone
Zone 5 — Job Zone Five: Extensive Preparation Needed
Education
Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
Typical entry-level education
Doctoral or professional degree · BLS, the typical path — not a requirement
Related experience
Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience. For example, surgeons must complete four years of college and an additional five to seven years of specialized medical training to be able to do their job.
Preparation level
SVP (8.0 and above) — total schooling plus on-the-job experience.

What to study: Education , English Language and Literature/Letters , Foreign Languages, Literatures, and Linguistics , Multi/Interdisciplinary Studies . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Doctoral Degree 58.4%
Master's Degree 30.4%
Less than a High School Diploma 9.6%
Post-Master's Certificate 1.3%
Post-Doctoral Training 0.3%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Social 7.0
Investigative 4.8
Artistic 4.2
Conventional 3.5

Interest areas

Teaching/Education 6.9
Humanities 6.8
Public Speaking 5.7
Professional Advising 5.0
Creative Writing 4.6
Social Science 3.9
Social Service 3.7
Media 3.1

Work styles

Dependability 6.0
Intellectual Curiosity 5.0
Achievement Orientation 4.0
Social Orientation 3.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$48k10th$60k25th$78kMedian$104k75th$155k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
72k202472k2034 (proj.)+0.0% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $47,540
25th percentile $59,780
Median (50th) $78,270
75th percentile $103,730
90th percentile $154,800
People employed 59,590

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Educational Services · Sector 59,590 $78,270

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Educational Services · Sector 11.3× 59,590

Part of the Education career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay English Language and Literature Teachers, Postsecondary sits at the 91st percentile of AI task-overlap and the 67th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay English Language and Literature Teachers, Postsecondary Secondary School Teachers, Except Special and Career/Technical Education Art, Drama, and Music Teachers, Postsecondary Anthropology and Archeology Teachers, Postsecondary Education Teachers, Postsecondary AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for English Language and Literature Teachers, Postsecondary — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 70th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

English Language and Literature Teachers, Postsecondary show 91st-percentile AI task overlap — and about 5,100 annual U.S. openings

  • English Language and Literature Teachers, Postsecondary rank in the 91st percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 5,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (0%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $78,270, across about 59,590 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 63% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
English Language and Literature Teachers, Postsecondary show 91st-percentile AI task overlap — and about 5,100 annual U.S. openings

• English Language and Literature Teachers, Postsecondary rank in the 91st percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 5,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (0%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $78,270, across about 59,590 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 63% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2)

Source: Singulariki — "English Language and Literature Teachers, Postsecondary". https://singulariki.com/roles/role-25-1123-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "English Language and Literature Teachers, Postsecondary." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-25-1123-00

APA

Singulariki. (2026). English Language and Literature Teachers, Postsecondary. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-25-1123-00

BibTeX
@misc{singulariki-role-25-1123-00,
  title  = {English Language and Literature Teachers, Postsecondary},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-25-1123-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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