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 25-3041.00
Instruct individual students or small groups of students in academic subjects to support formal class instruction or to prepare students for standardized or admissions tests.
Also called: Academic Coach · Academic Guidance Specialist · Professional Tutor · Tutor · Accounting Tutor · Finance Tutor · Grade School Tutor · Private Mathematics Tutor · Private Tutor · ACT Instructor (American College Testing Instructor) · ACT Tutor (American College Test Tutor) · Academic Mentor
Job family: Educational Instruction and Library Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-25-3041-00/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.
89th-percentile task overlap — yet about 37,100 openings a year (+0.6% 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) High | 81st | 0.9 | |
| AI assistant applicability (Microsoft) High | 86th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). 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.
| Review class material with students by discussing text, working solutions to problems, or reviewing worksheets or other assignments. | 87.4% | |
| Provide private instruction to individual or small groups of students to improve academic performance, improve occupational skills, or prepare for academic or occupational tests. | 62.2% | |
| Develop teaching or training materials, such as handouts, study materials, or quizzes. | 53.8% | |
| Administer, proctor, or score academic or diagnostic assessments. | 4.6% | |
| Research or recommend textbooks, software, equipment, or other learning materials to complement tutoring. | 1.2% | |
| Maintain records of students' assessment results, progress, feedback, or school performance, ensuring confidentiality of all records. | 0.6% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +0.6% by 2034 |
| Projected annual openings | 37,100 |
| Employment 2024 → 2034 | 215,500 → 216,800 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Customer and Personal Service | 4.5 | |
| English Language | 4.2 | |
| Education and Training | 4.1 | |
| Mathematics | 3.7 | |
| Computers and Electronics | 3.2 | |
| Psychology | 3.1 |
| Reading Comprehension | 4.1 | |
| Active Listening | 4.0 | |
| Speaking | 4.0 | |
| Learning Strategies | 4.0 | |
| Critical Thinking | 3.8 | |
| Writing | 3.6 | |
| Active Learning | 3.6 | |
| Monitoring | 3.5 | |
| Mathematics | 2.9 |
| Instructing | 4.1 | |
| Social Perceptiveness | 3.8 | |
| Complex Problem Solving | 3.6 | |
| Service Orientation | 3.4 | |
| Judgment and Decision Making | 3.3 | |
| Time Management | 3.1 | |
| Coordination | 3.0 | |
| Persuasion | 3.0 | |
| Negotiation | 3.0 |
| Oral Comprehension | 4.1 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Expression | 4.0 | |
| Speech Clarity | 4.0 | |
| Speech Recognition | 3.9 | |
| Fluency of Ideas | 3.4 | |
| Problem Sensitivity | 3.4 | |
| Deductive Reasoning | 3.4 | |
| Inductive Reasoning | 3.4 | |
| Near Vision | 3.4 | |
| Information Ordering | 3.3 | |
| Selective Attention | 3.1 | |
| Originality | 3.0 | |
| Category Flexibility | 3.0 | |
| Mathematical Reasoning | 2.9 |
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.
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.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 40.9% | |
| Some College Courses | 36.4% | |
| High School Diploma | 9.1% | |
| Associate's Degree (or other 2-year degree) | 9.1% | |
| Master's Degree | 4.5% |
The interests and personal qualities O*NET associates with people who do this work.
| Social | 6.8 | |
| Conventional | 3.4 | |
| Artistic | 3.1 | |
| Investigative | 2.9 | |
| Realistic | 2.3 |
| Teaching/Education | 6.4 | |
| Social Service | 5.1 | |
| Professional Advising | 4.9 | |
| Personal Service | 3.5 | |
| Social Science | 2.7 | |
| Mathematics/Statistics | 2.7 | |
| Humanities | 2.6 |
| Dependability | 5.0 | |
| Cooperation | 4.0 | |
| Social Orientation | 3.0 | |
| Optimism | 2.4 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $28,430 |
| 25th percentile | $33,410 |
| Median (50th) | $40,090 |
| 75th percentile | $55,380 |
| 90th percentile | $78,810 |
| People employed | 174,660 |
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 | 155,040 | $40,370 |
| Health Care and Social Assistance · Sector | 10,030 | $38,230 |
| Other Services (except Public Administration) · Sector | 3,830 | $45,170 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 2,140 | $41,600 |
| Temporary Help Services · National industry | 1,320 | $47,410 |
| Arts, Entertainment, and Recreation · Sector | 520 | $39,140 |
| Information · Sector | 500 | $41,570 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 390 | $71,590 |
| Management of Companies and Enterprises · Sector | 250 | $35,720 |
| Professional, Scientific, and Technical Services · Sector | 200 | $47,360 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 170 | $49,230 |
| Fitness and Recreational Sports Centers · National industry | 130 | $46,850 |
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 | 10.03× | 155,040 |
| Research and Development in the Social Sciences and Humanities · National industry | 1.74× | 120 |
| Other Services (except Public Administration) · Sector | 0.76× | 3,830 |
| Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry | 0.72× | 390 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 0.58× | 170 |
| Temporary Help Services · National industry | 0.44× | 1,320 |
| Offices of Mental Health Practitioners (except Physicians) · National industry | 0.44× | 120 |
| Health Care and Social Assistance · Sector | 0.38× | 10,030 |
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 Tutors — 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.
Tutors show 89th-percentile AI task overlap — and about 37,100 annual U.S. openings
Tutors show 89th-percentile AI task overlap — and about 37,100 annual U.S. openings • Tutors rank in the 89th 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 37,100 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 (+0.6%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $40,090, across about 174,660 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Tutors". https://singulariki.com/roles/role-25-3041-00 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. "Tutors." 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-25-3041-00
Singulariki. (2026). Tutors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-25-3041-00
@misc{singulariki-role-25-3041-00,
title = {Tutors},
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-25-3041-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.