AI JOB RISK SCANNER
O*NET-SOC 25-9044.00 / model V11 rated-task engine

Will AI replace
Teaching Assistants, Postsecondary?

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.

Estimated AI task exposure
40%

Moderate exposure

V11 weights occupation tasks using O*NET Importance, Relevance and Frequency ratings instead of treating every task equally.

20 tasks have usable Task Rating records; weighted-task coverage is 100%.

Digital/info work

40/100

Physical moat

7/100

Human moat

53/100

Rating coverage

100%

20 task statements / 20 rated

Highest-weighted occupation tasks

Evaluate and grade examinations, assignments, or papers, and record grades.
Importance 89/100Relevance 94/100Frequency 46/100Weight 0.80
Teach undergraduate-level courses.
Importance 91/100Relevance 83/100Frequency 44/100Weight 0.76
Develop teaching materials, such as syllabi, visual aids, answer keys, supplementary notes, or course Web sites.
Importance 80/100Relevance 90/100Frequency 43/100Weight 0.74
Tutor or mentor students who need additional instruction.
Importance 72/100Relevance 94/100Frequency 45/100Weight 0.73
Return assignments to students in accordance with established deadlines.
Importance 75/100Relevance 89/100Frequency 44/100Weight 0.72
Inform students of the procedures for completing and submitting class work, such as lab reports.
Importance 77/100Relevance 85/100Frequency 44/100Weight 0.72
Schedule and maintain regular office hours to meet with students.
Importance 67/100Relevance 84/100Frequency 47/100Weight 0.69
Lead discussion sections, tutorials, or laboratory sections.
Importance 82/100Relevance 72/100Frequency 44/100Weight 0.69
Copy and distribute classroom materials.
Importance 59/100Relevance 95/100Frequency 40/100Weight 0.68
Meet with supervisors to discuss students' grades or to complete required grade-related paperwork.
Importance 68/100Relevance 88/100Frequency 32/100Weight 0.67

Task weighting

Each rated task receives a composite weight: 38% relevance, 37% importance and 25% frequency. Core tasks receive a small additional multiplier. Low-precision rows flagged by O*NET for suppression are excluded.

Occupation scoring

When rating coverage is strong, rated tasks contribute 60% of the digital, physical and human task signals and Work Activities contribute 40%. Lower-coverage occupations automatically rely more on Work Activities.

U.S. labor market

BLS Wage & Employment Outlook

Median annual wage

$42,910

BLS OEWS May 2025

National employment

164,090

BLS OEWS May 2025

Projected growth

+2.7%

BLS Employment Projections 2025–2035

Average annual openings

26

BLS Employment Projections 2025–2035

BLS labor-market figures are separate from the site's AI-exposure model. Missing values mean a compatible detailed BLS occupation estimate was not published or could not be mapped.

Career pivot radar

Safer Career Alternatives

These options are selected from the same 923-occupation model. They favor a similar task/work profile with meaningfully lower estimated AI exposure. They are suggestions for exploration, not guarantees of job fit.

Personalized career defense protocol

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          What this score does not mean

          The percentage is a comparative task-exposure index. It is not the probability that this occupation disappears, that a worker is laid off, or that AI can perform the entire job.

          New in V11

          Find a Safer Career Path

          High exposure does not mean starting over. V11 compares your occupation with the other 922 O*NET occupations and surfaces lower-exposure options with similar work profiles.

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