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Mathematicians vs Mathematical Science Teachers, Postsecondary

Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index

A factual, source-backed comparison of Mathematicians and Mathematical Science Teachers, Postsecondary on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”

Mathematicians Mathematical Science Teachers, Postsecondary
Median pay · BLS OEWS
$121,680
$79,350
Employment · BLS OEWS
2,220
48,820
AI exposure (percentile) · task overlap, not automation
99th pct
87th pct

At a glance

Dimension Mathematicians Mathematical Science Teachers, Postsecondary
Median pay $121,680 $79,350
Employment 2,220 48,820
Employment outlook (2024–34) · BLS projection Declining (-0.7%) About average (+2.3%)
Annual openings · BLS projection 100 4,400
Typical education · O*NET 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). 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).
AI exposure · published exposure studies High · 99th pct High · 87th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 94th pct · 56% of tasks 70th pct · 37% of tasks
Observed AI use · Anthropic Economic Index Automation-leaning (52.7%) Augmentation-leaning (65.0%)
Mostly remote-capable · Dingel–Neiman Yes Yes

Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.

Skills

Shared: Mathematics, Mathematical Reasoning, Mathematics, Number Facility, Critical Thinking, Oral Comprehension, Written Comprehension, Oral Expression, Written Expression, Reading Comprehension, Active Learning, Complex Problem Solving, Deductive Reasoning, Inductive Reasoning, Information Ordering, Category Flexibility, Judgment and Decision Making, Fluency of Ideas, Originality, Problem Sensitivity, Education and Training, Writing, Near Vision, Computers and Electronics, Active Listening, English Language, Speaking, Learning Strategies, Selective Attention, Speech Clarity, Monitoring, Instructing, Systems Analysis, Systems Evaluation, Speech Recognition, Social Perceptiveness.

Specific to Mathematicians

  • Science
  • Flexibility of Closure
  • Physics
  • Engineering and Technology

Specific to Mathematical Science Teachers, Postsecondary

  • Time Management
  • Coordination
  • Service Orientation
  • Memorization

Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).

Tools & technology

Shared: Development environment software , Spreadsheet software , Office suite software , Analytical or scientific software , Data base user interface and query software , Electronic mail software , Presentation software , Word processing software .

Specific to Mathematicians

Specific to Mathematical Science Teachers, Postsecondary

Full profiles

This page is a summary. See the complete source-backed profile for Mathematicians or Mathematical Science Teachers, Postsecondary — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.

More comparisons

Related occupations you can place side by side on the same sourced scale.

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. "Mathematicians vs Mathematical Science 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; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/mathematicians-vs-mathematical-science-teachers-postsecondary

APA

Singulariki. (2026). Mathematicians vs Mathematical Science Teachers, Postsecondary. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/mathematicians-vs-mathematical-science-teachers-postsecondary

BibTeX 
@misc{singulariki-mathematicians-vs-mathematical-science-teachers-postsecondary,
  title  = {Mathematicians vs Mathematical Science 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; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/compare/mathematicians-vs-mathematical-science-teachers-postsecondary}
}

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