Quality assurance technician
AI Exposure Rank
25/100
Range 20–30/100 across source-weight sensitivity checks
Quality assurance technician has an AI Exposure Rank of 25/100, meaning its work is more exposed to current AI capabilities than approximately 25% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss.
Associate Professionals & Technicians·SGD 4,292/mo (3,300–5,651)·~2.1K workers in SG·Updated 2026-06-11
Relative AI exposure, not a prediction of job loss. Hiring, wages and role design depend on many forces this rank does not forecast.
Why This Score
28% of tasks overlap with current AI
30% human advantage from judgment & presence
35% demand buffer from the local labour market
AI usage 27pp below theoretical exposure
These factors interact with each other — the final score is not a simple sum of these bars.
The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. Score stability: watch. How this works
Tasks AI can handle
With 28% AI task overlap (based on Felten AIOE, Anthropic Economic Index, Eloundou GPT exposure, and ILO occupational exposure), the Quality assurance technician tasks most exposed include: financial modeling, data extraction from filings, ratio analysis, report generation, transaction categorization, and regulatory document summarization.
- • Monitor bug resolution efforts and track successes.
- • Investigate customer problems referred by technical support.
- • Test system modifications to prepare for implementation.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 30% human bottleneck protection, the tasks that remain hardest to automate for Quality assurance technician include: judgment on risk vs. return, client advisory relationships, regulatory interpretation in edge cases, fraud detection in novel scenarios, and strategic capital allocation.
Main insulation channels: High-stakes decisions + Non-routine work — the work-context dimensions behind this occupation's human bottleneck.
Skills to focus on
Sources: Felten AIOE (2021), Anthropic Economic Index (2026), Eloundou GPT Exposure (Science, 2024), ILO GenAI (2025), Pizzinelli et al. bottleneck model. Full methodology.
Singapore Now
Current labour market conditions and how they affect this role.
Cooling, but not collapsing. Vacancies and re-entry are softer, yet retrenchment remains low and hiring still exceeds resignations.
Vacancy
3.1%
↓ 3.1% YoY
Hiring
1.5%
vs 0.9% resign
Retrenchment
1.5
per 1,000 · low
Re-entry
67.7%
find work in 12mo· -5.3pp
Professionals, Managers, Executives & Technicians · 2025 Q4
Top Industries
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
What You Can Do
Quality assurance technician has some offset potential, but it depends on transition pathways holding up in practice and on workers clearing the main switching frictions.
Published transition support
Related roles you could transition to
Exposure-reducingThis occupation has higher relative AI exposure, and its best adjacent move ranks in the weakest quarter of exposure-reducing options. Mobility outcomes also depend on demand, wages, skills and access to credible transitions. See all occupations in this quadrant.
Compare within Associate Professionals & Technicians
See how this compares to similar occupations
Compare with... →Classification
More exposed than approximately 24% of occupations · V8 AI Exposure Rank· Polytechnic / ITE Diploma
Raw scores
AIOE 0.194 · θ 0.654 · C-AIOE 0.161
Stability
watch · Optimistic 13% · Pessimistic 21%
Score range (best/worst case)
Exposure sensitivity 21–34% · Rank sensitivity 20–30/100 across source-weight sensitivity checks
Scoring basis
V8 AI Exposure Rank. A relative Singapore occupation index. It ranks AI task exposure; it is not a probability of job loss or a percentage of tasks.
Wage range (SGD/mo)
25th 3,300 · Median 4,292 · 75th 5,651
Evidence & sources
Data matching
direct · SSOC 31175
Real-world AI usage: -27% vs estimated
Data quality
high evidence · 4 exposure sources · direct mapping
100% weighted task match · 35% effective coverage
AI overlap by data source
Weights: aioe 24% · anthropic 26% · eloundou 25% · ilo 26%
Tools & offset factors
What could slow it down
- Current demand support is thin, so offsets may take longer to show up.
Worker profile & local context
- Vacancy rate is 3.1% and was essentially flat versus last quarter.
- Hiring read: recruitment is running above resignation (1.5% vs 0.9%).
- Retrenchment was low at 1.5 per 1,000 employees.
- 67.7% of retrenched workers re-entered employment within 12 months.
- Employer pressure is low, based on 2 recent Singapore-relevant company signals.
Worker profile
Gender mix
78% male / 22% femalePublished Singapore worker composition for the detailed occupation family 31 Physical & Engineering Science Associate Professionals.
Employment structure
Employee-heavy87% employees, 13% employers or self-employed workers.
Work arrangement
Mostly full-time9% part-time and 91% full-time in 2025.
Age profile
Mid-career heavy17% aged 15 to 29, 52% aged 30 to 49, and 31% aged 50 or older.
Qualification mix
Diploma-heavyDegree 37%; Diploma / professional qualification 35%.
Gross wage by sex
Female median 7% lowerPublished June 2024 gross wage medians: male $4,431, female $4,100.
Where this work is concentrated
Top planning areas
Jurong West, Woodlands, Tampines22% of workers in this occupation group live in these three planning areas.
Residential concentration
Moderately clustered35% live across the top five planning areas in the 2020 Census.
Commute pattern
Longer commutesEstimated average commute 38.7 minutes. 36% take 46 minutes or more.
Role profile
How this role's work breaks down across key dimensions. This is a general profile, not an individual measurement.
Workflow dimensions (0 = low, 1 = high)
How this changes by career stage
Career stage can change the task mix and human context. These directional profiles are illustrative, not occupation-level forecasts of hiring or displacement.
Frequently asked questions
Will AI replace Quality assurance technician?
Quality assurance technician has an AI Exposure Rank of 25/100, meaning its work is more exposed to current AI capabilities than approximately 25% of Singapore occupations. The evidence currently points to limited direct change; this is a relative rank, not a probability of job loss. AI Exposure Rank: 25/100 (Low). Median wage: SGD 4,292/month.
What is the AI exposure rank for Quality assurance technician?
Quality assurance technician has an AI Exposure Rank of 25/100, rated Low. It ranks higher than approximately 25% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
What career transitions are available for Quality assurance technician?
Quality assurance technician has modeled transition pathways to related occupations. The strongest adjacent pathway is Financial product structurer, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Quality assurance technician salary compare in the live market?
Quality assurance technician earns a median gross wage of SGD 4,292/month in the live market (25th-75th percentile: SGD 3,300-5,651). This is 5% below median across all 562 scored occupations, and 4% above group median within Associate Professionals & Technicians occupations.