Teach academic, social, and life skills to middle school students with learning, emotional, or physical disabilities. Includes teachers who specialize and work with students who are blind or have visual impairments; students who are deaf or have hearing impairments; and students with intellectual disabilities.
Also called: Intervention Specialist · Middle School Special Education Teacher (MS SPED Teacher) · SPED Resource Teacher (Special Education Resource Teacher) · Special Education Teacher (SPED Teacher) · Exceptional Children Teacher (EC Teacher) · Exceptional Student Education Teacher (ESE Teacher) · Inclusion Teacher · Learning Disabilities Teacher (LD Teacher) · Learning Support Teacher · Self-Contained Special Education Teacher (Self-Contained SPED Teacher) · Blind Teacher · Braille Teacher
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-25-2057-00/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.
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground
the work is built on.
↔51st-percentile task overlap — yet
about 6,300 openings a year
(-1.9% projected, BLS)
. 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
LLM task exposure, γ (OpenAI / Eloundou) Moderate
45th
0.5
AI assistant applicability (Microsoft) Moderate
57th
0.2
OpenAI's exposure study scores tasks three ways: with a language model alone
(α 0.1), with simple added tooling
(β 0.3), and including AI-powered software
(γ 0.5). Higher means more of the job's
tasks could be done at least twice as fast — not that they will be automated away.
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.
Prepare, administer, and grade tests and assignments to evaluate students' progress.
4.2%
Instruct through lectures, discussions, and demonstrations in one or more subjects, such as English, mathematics, or social studies.
3.7%
Use computers, audio-visual aids, and other equipment and materials to supplement presentations.
3.1%
Observe and evaluate students' performance, behavior, social development, and physical health.
1.8%
Organize and label materials and display students' work.
1.6%
Prepare materials and classrooms for class activities.
1.4%
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 —
a labor-market forecast, not an AI-impact forecast.
Outlook
Declining · -1.9% by 2034
Projected annual openings
6,300
Employment 2024 → 2034
94,800 → 93,000
“Annual openings” counts new jobs plus replacements for workers who leave the
occupation, so it can be large even when growth is modest.
Tasks
All 40 tasks O*NET lists for this occupation, ordered by importance.
Each links to its own page with AI-exposure and observed-use detail.
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.
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study:Education
. 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.
Bachelor's Degree
82.1%
Master's Degree
17.5%
Post-Baccalaureate Certificate
0.4%
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
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.
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for
the occupation, not an AI-impact forecast.
10th percentile
$48,070
25th percentile
$58,590
Median (50th)
$64,880
75th percentile
$81,940
90th percentile
$102,730
People employed
95,330
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.
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).
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 Special Education Teachers, Middle School — 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.
▸Write a report on thisheadline · factoids · citation
Special Education Teachers, Middle School show 51st-percentile AI task overlap — and about 6,300 annual U.S. openings
Special Education Teachers, Middle School rank in the 51st percentile (Moderate 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 6,300 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 declining (-1.9%) from 2024 to 2034.BLS Employment Projections 2024–34
Median annual pay is $64,880, across about 95,330 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Special Education Teachers, Middle School show 51st-percentile AI task overlap — and about 6,300 annual U.S. openings
• Special Education Teachers, Middle School rank in the 51st percentile (Moderate 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 6,300 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 declining (-1.9%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $64,880, across about 95,330 U.S. workers. (BLS OEWS (May 2024))
Source: Singulariki — "Special Education Teachers, Middle School". https://singulariki.com/roles/role-25-2057-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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.
O*NET 30.3U.S. Department of Labor / National Center for O*NET Development
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Special Education Teachers, Middle School." 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. Accessed June 7, 2026. https://singulariki.com/roles/role-25-2057-00
APA
Singulariki. (2026). Special Education Teachers, Middle School. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-25-2057-00
BibTeX
@misc{singulariki-role-25-2057-00,
title = {Special Education Teachers, Middle School},
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. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-25-2057-00}
}
Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.
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