Resume Space · Career insights
Explore job titles, skills and responsibilities from tracked job postings, see salary amounts recorded with job postings, and read research-backed ideas for where AI may help in the work.
Job data is a current snapshot across tracked locations. AI ideas are editorial suggestions, not measures of hiring demand.
Compare the current job snapshot, posted salary evidence and researched AI-use possibilities.
Showing QA Engineer job-data trends.
Current job snapshot
Across tracked locations · 38 candidate job postings captured · observed Oct 28, 2026
Title, skill, responsibility and salary summaries use only confirmed in-role postings. Across the candidate inventory, 30 descriptions were usable; 0 were missing, 0 were truncated, and extraction failed for 8. This is a snapshot, not a forecast of job growth.
What employers mention
Counts show distinct job postings in this snapshot. Similar postings across locations are deduplicated.
Among 31 postings reviewed as in-role
2 of 31 postings · 6%
Mentioned by 2 employers
Small sample
2 of 31 postings · 6%
Mentioned by 1 employers
Small sample
1 of 31 postings · 3%
Mentioned by 1 employers
Small sample
1 of 31 postings · 3%
Mentioned by 1 employers
Small sample
1 of 31 postings · 3%
Mentioned by 1 employers
Small sample
1 of 31 postings · 3%
Mentioned by 1 employers
Small sample
1 of 31 postings · 3%
Mentioned by 1 employers
Small sample
1 of 31 postings · 3%
Mentioned by 1 employers
Small sample
1 of 31 postings · 3%
Mentioned by 1 employers
Small sample
1 of 31 postings · 3%
Mentioned by 1 employers
Small sample
Among 30 in-role postings with usable skill evidence
20 of 30 postings · 67%
Mentioned by 16 employers
Limited evidence
20 of 30 postings · 67%
Mentioned by 13 employers
Limited evidence
9 of 30 postings · 30%
Mentioned by 7 employers
Limited evidence
Among 30 in-role postings with usable responsibility evidence
9 of 30 postings · 30%
Mentioned by 6 employers
Limited evidence
Posted salary data
Salary coverage uses only postings confirmed as in-role for this guide. Amounts, currencies and pay periods use the normalized values stored with job postings. The original pay context is not independently verified for every posting, so pay basis can vary. If captured compensation text clearly conflicts with a stored period, that posting is excluded. This snapshot is not a personal salary estimate; we do not convert currencies or annualize pay.
Recorded posting values · 2 postings · 2 employers
Observed stored range
$8.00 – $40.00
Full span of complete ranges in this snapshot, not a typical pay range.
Median withheld because the complete-range sample is below the reporting threshold.
2 complete ranges · 0 one-sided postings · 2 employers with complete ranges
Limited sample
Recorded posting values · 15 postings · 10 employers
Observed stored range
$50,700.00 – $235,000.00
Full span of complete ranges in this snapshot, not a typical pay range.
Median stored midpoint from 15 complete ranges: $127,900.00
15 complete ranges · 0 one-sided postings · 10 employers with complete ranges
17 of 31 in-role postings had usable stored salary fields. 14 were missing or excluded by the salary rules.
Groups use the stored salary minimum, maximum, currency and pay period. Not all original posting context is retained with those normalized fields, so this page does not claim every figure is base pay. When nearby captured compensation text contains both stored range endpoints and one clear, different pay period, that record is excluded. Mixed or unclear context can remain grouped under the stored period. Currency and period are kept separate; amounts are not converted or annualized.
Practical ideas, with human review
These are research-informed possibilities, separate from measured job demand. People remain responsible for decisions and final work.
Suggest boundary, negative, and alternate-path scenarios from a supplied work-item description.
A candidate scenario checklist.
With sensitive details removed, reorganize rough investigation notes into a clearer defect report and identify missing reproduction information.
A draft issue with observed behavior, expected behavior, and open questions.
Research reviewed Oct 28, 2026.
Release seed-public-v10. AI Learning