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Computer Science Teachers, Postsecondary vs Computer Systems Engineers/Architects

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

A factual, source-backed comparison of Computer Science Teachers, Postsecondary and Computer Systems Engineers/Architects 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.”

Computer Science Teachers, Postsecondary Computer Systems Engineers/Architects
Median pay · BLS OEWS
$96,690
$108,970
Employment · BLS OEWS
36,240
439,380
AI exposure (percentile) · task overlap, not automation
94th pct
88th pct

At a glance

Dimension Computer Science Teachers, Postsecondary Computer Systems Engineers/Architects
Median pay $96,690 $108,970
Employment 36,240 439,380
Employment outlook (2024–34) · BLS projection About average (+5.3%) Growing fast (+8.2%)
Annual openings · BLS projection 3,500 31,300
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 occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
AI exposure · published exposure studies High · 94th pct High · 88th pct
Global GenAI gradient · ILO ISCO-08 · via crosswalk 70th pct · 37% of tasks —
Observed AI use · Anthropic Economic Index Augmentation-leaning (68.5%) —
Mostly remote-capable · Dingel–Neiman 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: Computers and Electronics, English Language, Oral Comprehension, Oral Expression, Customer and Personal Service, Reading Comprehension, Writing, Speaking, Written Comprehension, Written Expression, Active Listening, Critical Thinking, Active Learning, Learning Strategies, Judgment and Decision Making, Mathematics, Deductive Reasoning, Inductive Reasoning, Speech Clarity, Engineering and Technology, Administration and Management, Monitoring, Complex Problem Solving, Information Ordering, Near Vision, Problem Sensitivity, Speech Recognition, Systems Analysis, Telecommunications, Systems Evaluation, Mathematics.

Specific to Computer Science Teachers, Postsecondary

  • Education and Training
  • Instructing
  • Social Perceptiveness
  • Administrative
  • Design
  • Public Safety and Security
  • Communications and Media
  • Personnel and Human Resources

Specific to Computer Systems Engineers/Architects

  • Operations Analysis
  • Originality
  • Programming
  • Fluency of Ideas
  • Category Flexibility
  • Quality Control Analysis
  • Mathematical Reasoning
  • Number Facility

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: Object or component oriented development software , Graphics or photo imaging software , Development environment software , Web platform development software , Operating system software , Data base user interface and query software .

Specific to Computer Science Teachers, Postsecondary

Specific to Computer Systems Engineers/Architects

Full profiles

This page is a summary. See the complete source-backed profile for Computer Science Teachers, Postsecondary or Computer Systems Engineers/Architects — 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. "Computer Science Teachers, Postsecondary vs Computer Systems Engineers/Architects." 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/compare/computer-science-teachers-postsecondary-vs-computer-systems-engineers-architects

APA

Singulariki. (2026). Computer Science Teachers, Postsecondary vs Computer Systems Engineers/Architects. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/computer-science-teachers-postsecondary-vs-computer-systems-engineers-architects

BibTeX 
@misc{singulariki-computer-science-teachers-postsecondary-vs-computer-systems-engineers-architects,
  title  = {Computer Science Teachers, Postsecondary vs Computer Systems Engineers/Architects},
  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/compare/computer-science-teachers-postsecondary-vs-computer-systems-engineers-architects}
}

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