Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 25-9044.00
Assist faculty or other instructional staff in postsecondary institutions by performing instructional support activities, such as developing teaching materials, leading discussion groups, preparing and giving examinations, and grading examinations or papers.
Also called: Graduate Assistant · Graduate Teaching Assistant (GTA) · Research Assistant (RA) · Teaching Assistant (TA) · Graduate Fellow · Graduate Research Assistant · Graduate Student · Graduate Student Instructor (GSI) · Teaching Fellow · Classroom Assistant · College Assistant · College Biology Teaching Assistant (College Biology TA)
Job family: Educational Instruction and Library Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-25-9044-00/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
64th-percentile task overlap — yet about 24,600 openings a year (+3.1% projected, BLS) . What exposure means →
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.
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 | 57th | 0.7 | |
| AI assistant applicability (Microsoft) High | 72nd | 0.2 |
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 0.7). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
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.
| Develop teaching materials, such as syllabi, visual aids, answer keys, supplementary notes, or course Web sites. | 28.7% | |
| Prepare or proctor examinations. | 0.4% | |
| Provide instructors with assistance in the use of audiovisual equipment. | 0.4% | |
| Provide assistance to faculty members or staff with laboratory or field research. | 0.3% | |
| Return assignments to students in accordance with established deadlines. | 0.2% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.1% by 2034 |
| Projected annual openings | 24,600 |
| Employment 2024 → 2034 | 193,600 → 199,600 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 20 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| English Language | 4.7 | |
| Education and Training | 4.5 | |
| Computers and Electronics | 3.5 | |
| Mathematics | 3.3 | |
| Communications and Media | 2.9 | |
| Psychology | 2.6 | |
| Administrative | 2.6 | |
| Sociology and Anthropology | 2.5 |
| Oral Comprehension | 4.1 | |
| Oral Expression | 4.1 | |
| Written Comprehension | 4.0 | |
| Written Expression | 3.5 | |
| Speech Clarity | 3.5 | |
| Near Vision | 3.3 | |
| Speech Recognition | 3.3 | |
| Fluency of Ideas | 3.1 | |
| Originality | 3.1 | |
| Problem Sensitivity | 3.1 | |
| Deductive Reasoning | 3.1 | |
| Inductive Reasoning | 3.1 | |
| Information Ordering | 3.0 | |
| Category Flexibility | 3.0 | |
| Selective Attention | 3.0 | |
| Flexibility of Closure | 2.5 |
| Reading Comprehension | 3.9 | |
| Active Listening | 3.6 | |
| Speaking | 3.5 | |
| Learning Strategies | 3.4 | |
| Writing | 3.3 | |
| Critical Thinking | 3.1 | |
| Monitoring | 3.1 | |
| Active Learning | 3.0 |
| Instructing | 3.5 | |
| Social Perceptiveness | 3.1 | |
| Coordination | 3.1 | |
| Service Orientation | 3.1 | |
| Complex Problem Solving | 3.1 | |
| Judgment and Decision Making | 3.0 | |
| Time Management | 3.0 | |
| Persuasion | 2.4 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
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.
What to study: Education . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 57.3% | |
| Master's Degree | 37.3% | |
| Doctoral Degree | 3.7% | |
| Some College Courses | 1.5% | |
| Post-Master's Certificate | 0.2% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 7.0 | |
| Integrity | 6.0 | |
| Intellectual Curiosity | 5.0 | |
| Cooperation | 4.0 | |
| Social Orientation | 3.0 |
| Social | 6.5 | |
| Conventional | 5.0 | |
| Investigative | 3.1 | |
| Enterprising | 2.8 |
| Teaching/Education | 6.3 | |
| Public Speaking | 3.7 | |
| Professional Advising | 3.6 | |
| Humanities | 3.6 | |
| Social Service | 3.4 | |
| Social Science | 3.3 | |
| Mathematics/Statistics | 2.7 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $28,020 |
| 25th percentile | $32,640 |
| Median (50th) | $44,930 |
| 75th percentile | $60,410 |
| 90th percentile | $73,560 |
| People employed | 155,010 |
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 | 153,790 | $45,180 |
| Other Services (except Public Administration) · Sector | 950 | $36,870 |
| Health Care and Social Assistance · Sector | 190 | $46,700 |
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 | 11.21× | 153,790 |
| Other Services (except Public Administration) · Sector | 0.21× | 950 |
| Health Care and Social Assistance · Sector | 0.01× | 190 |
Part of the Education career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Teaching Assistants, Postsecondary — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Teaching Assistants, Postsecondary show 64th-percentile AI task overlap — and about 24,600 annual U.S. openings
Teaching Assistants, Postsecondary show 64th-percentile AI task overlap — and about 24,600 annual U.S. openings • Teaching Assistants, Postsecondary rank in the 64th 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 24,600 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 (+3.1%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $44,930, across about 155,010 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Teaching Assistants, Postsecondary". https://singulariki.com/roles/role-25-9044-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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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.
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.
Singulariki. "Teaching Assistants, 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. Accessed June 7, 2026. https://singulariki.com/roles/role-25-9044-00
Singulariki. (2026). Teaching Assistants, Postsecondary. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-25-9044-00
@misc{singulariki-role-25-9044-00,
title = {Teaching Assistants, 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. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-25-9044-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.