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Singulariki

Software Quality Assurance Analysts and Testers

Occupation · SOC 15-1253.00

Develop and execute software tests to identify software problems and their causes. Test system modifications to prepare for implementation. Document software and application defects using a bug tracking system and report defects to software or web developers. Create and maintain databases of known defects. May participate in software design reviews to provide input on functional requirements, operational characteristics, product designs, and schedules.

Also called: Quality Assurance Analyst (QA Analyst) · Software Quality Assurance Engineer (SQA Engineer) · Software Quality Engineer · Software Test Engineer · Automation Tester · Information Technology Analyst (IT Analyst) · Quality Assurance Engineer (QA Engineer) · Quality Engineer · Software Quality Assurance Analyst (SQA Analyst) · Test Engineer · Application Integrator · Applications Analyst

Job family: Computer and Mathematical Occupations

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AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

95th-percentile task overlap — yet about 14,000 openings a year (+10% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
LLM task exposure, γ (OpenAI / Eloundou) High 85th 0.9
AI assistant applicability (Microsoft) High 94th 0.3

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.8), with simple added tooling (β 0.9), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Modify existing software to correct errors, allow it to adapt to new hardware, or to improve its performance. 267.9%
Perform initial debugging procedures by reviewing configuration files, logs, or code pieces to determine breakdown source. 64.6%
Provide feedback and recommendations to developers on software usability and functionality. 57.9%
Review software documentation to ensure technical accuracy, compliance, or completeness, or to mitigate risks. 27.7%
Store, retrieve, and manipulate data for analysis of system capabilities and requirements. 10.1%
Document software defects, using a bug tracking system, and report defects to software developers. 7.9%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Growing fast · +10.0% by 2034
Projected annual openings 14,000
Employment 2024 → 2034 201,700 → 221,900

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Tasks

All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Computers and Electronics 4.4
English Language 3.8
Mathematics 3.3
Engineering and Technology 3.3
Design 3.0

Essential skills

Reading Comprehension 4.0
Active Listening 3.9
Speaking 3.9
Critical Thinking 3.9
Writing 3.8
Monitoring 3.6
Active Learning 3.1
Learning Strategies 2.9

Abilities

Oral Comprehension 4.0
Written Comprehension 4.0
Oral Expression 4.0
Problem Sensitivity 4.0
Deductive Reasoning 4.0
Inductive Reasoning 4.0
Written Expression 3.9
Information Ordering 3.8
Near Vision 3.6
Speech Recognition 3.3
Category Flexibility 3.1
Flexibility of Closure 3.1
Perceptual Speed 3.1
Fluency of Ideas 3.0
Originality 3.0
Selective Attention 3.0
Speech Clarity 3.0

Transferable skills

Programming 3.6
Complex Problem Solving 3.4
Quality Control Analysis 3.4
Systems Evaluation 3.3
Operations Analysis 3.1
Judgment and Decision Making 3.1
Systems Analysis 3.1
Coordination 3.0
Operations Monitoring 3.0
Time Management 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 158.

Tools & technology

Example Category
Amazon Web Services AWS software Data base user interface and query software Hot technology In demand
Atlassian JIRA Project management software Hot technology In demand
C# Object or component oriented development software Hot technology In demand
C++ Object or component oriented development software Hot technology In demand
Git File versioning software Hot technology In demand
GitHub Application server software Hot technology In demand
JavaScript Web platform development software Hot technology In demand
Jenkins CI Enterprise application integration software Hot technology In demand
Linux Operating system software Hot technology In demand
Microsoft Azure software Development environment software Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Oracle Java Object or component oriented development software Hot technology In demand
Python Object or component oriented development software Hot technology In demand
Selenium Program testing software Hot technology In demand
Structured query language SQL Data base user interface and query software Hot technology In demand
Adobe Acrobat Document management software Hot technology
Adobe After Effects Video creation and editing software Hot technology
Adobe Creative Cloud software Graphics or photo imaging software Hot technology
Adobe Illustrator Graphics or photo imaging software Hot technology
Adobe InDesign Desktop publishing software Hot technology
Adobe Photoshop Graphics or photo imaging software Hot technology
AJAX Web platform development software Hot technology
Amazon DynamoDB Data base management system software Hot technology
Amazon Elastic Compute Cloud EC2 Data base user interface and query software Hot technology
Amazon Redshift Data base user interface and query software Hot technology
Amazon Web Services AWS CloudFormation Cloud-based management software Hot technology
Ansible software Expert system software Hot technology
Apache Cassandra Data base management system software Hot technology
Apache Hadoop Data base management system software Hot technology
Apache Hive Data base user interface and query software Hot technology
Apache Kafka Development environment software Hot technology
Apache Maven Development environment software Hot technology
Apache Spark Object or component oriented development software Hot technology
Apache Subversion SVN Development environment software Hot technology
Apache Tomcat Web platform development software Hot technology
Apple macOS Operating system software Hot technology
Apple Safari Internet browser software Hot technology
Atlassian Bitbucket Application server software Hot technology
Atlassian Confluence Project management software Hot technology

Showing the top 40 of 429.

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

E-Mail 5.0
Face-to-Face Discussions with Individuals and Within Teams 4.7
Spend Time Sitting 4.7
Importance of Being Exact or Accurate 4.4
Work With or Contribute to a Work Group or Team 4.4
Indoors, Environmentally Controlled 4.1
Freedom to Make Decisions 4.1
Telephone Conversations 4.1
Contact With Others 4.0
Determine Tasks, Priorities and Goals 4.0
Time Pressure 3.9
Importance of Repeating Same Tasks 3.7
Impact of Decisions on Co-workers or Company Results 3.6
Level of Competition 3.5
Spend Time Making Repetitive Motions 3.3
Physical Proximity 3.1
Conflict Situations 3.0
Frequency of Decision Making 3.0
Coordinate or Lead Others in Accomplishing Work Activities 3.0
Work Outcomes and Results of Other Workers 2.9
Degree of Automation 2.9
Consequence of Error 2.8
Written Letters and Memos 2.8
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.7
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.7
Public Speaking 2.4
Dealing With Unpleasant, Angry, or Discourteous People 2.4
Deal With External Customers or the Public in General 2.1
Health and Safety of Other Workers 2.1
Spend Time Standing 1.9
Pace Determined by Speed of Equipment 1.6
Spend Time Walking or Running 1.4
Exposed to Cramped Work Space, Awkward Positions 1.3
Indoors, Not Environmentally Controlled 1.3
Dealing with Violent or Physically Aggressive People 1.2
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 1.2
Exposed to Contaminants 1.2
In an Enclosed Vehicle or Operate Enclosed Equipment 1.1
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.1
Exposed to Hazardous Equipment 1.1

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Computer and Information Sciences and Support Services , Engineering , Engineering/Engineering-Related Technologies/Technicians . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 50.0%
Associate's Degree (or other 2-year degree) 26.5%
Post-Secondary Certificate 8.8%
Some College Courses 8.8%
High School Diploma 2.9%
Master's Degree 2.9%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Information Technology 6.5
Engineering 3.9
Mathematics/Statistics 3.2
Mechanics/Electronics 2.4
Management/Administration 2.2
Office Work 2.0

Career interests (Holland / RIASEC)

Investigative 5.8
Conventional 5.7
Realistic 3.8

Work styles

Dependability 4.0
Attention to Detail 3.0
Cautiousness 2.3
Intellectual Curiosity 2.0
Achievement Orientation 1.8
Perseverance 1.8
Integrity 1.8

Wages & employment

U.S. · annual wages (BLS OEWS)

$61k10th$80k25th$103kMedian$132k75th$167k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
202k2024222k2034 (proj.)+10.0% · Growing fast
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $60,690
25th percentile $79,520
Median (50th) $102,610
75th percentile $131,870
90th percentile $166,960
People employed 199,800

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Professional, Scientific, and Technical Services · Sector 83,530 $100,510
Information · Sector 38,580 $104,330
Finance and Insurance · Sector 20,830 $101,920
Manufacturing · Sector 17,140 $125,990
Management of Companies and Enterprises · Sector 11,150 $104,520
Administrative and Support and Waste Management and Remediation Services · Sector 11,070 $102,700
Temporary Help Services · National industry 6,830 $103,770
Wholesale Trade · Sector 6,000 $101,420
Engineering Services · National industry 3,740 $108,890
Direct Health and Medical Insurance Carriers · National industry 3,490 $99,090
Health Care and Social Assistance · Sector 2,680 $105,130
Educational Services · Sector 2,310 $86,260

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Information · Sector 10.24× 38,580
Direct Health and Medical Insurance Carriers · National industry 3,490
Professional, Scientific, and Technical Services · Sector 5.99× 83,530
Management of Companies and Enterprises · Sector 3.06× 11,150
Testing Laboratories and Services · National industry 3.03× 670
Finance and Insurance · Sector 2.58× 20,830
Engineering Services · National industry 2.5× 3,740
Temporary Help Services · National industry 1.99× 6,830

Part of the Digital Technology career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Software Quality Assurance Analysts and Testers sits at the 95th percentile of AI task-overlap and the 85th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Software Quality Assurance Analysts and Testers Computer Hardware Engineers Penetration Testers Computer Programmers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Software Quality Assurance Analysts and Testers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Write a report on thisheadline · factoids · citation

Software Quality Assurance Analysts and Testers show 95th-percentile AI task overlap — and about 14,000 annual U.S. openings

  • Software Quality Assurance Analysts and Testers rank in the 95th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 14,000 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be growing fast (+10%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $102,610, across about 199,800 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Software Quality Assurance Analysts and Testers show 95th-percentile AI task overlap — and about 14,000 annual U.S. openings

• Software Quality Assurance Analysts and Testers rank in the 95th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 14,000 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be growing fast (+10%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $102,610, across about 199,800 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Software Quality Assurance Analysts and Testers". https://singulariki.com/roles/role-15-1253-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

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. "Software Quality Assurance Analysts and Testers." 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. Accessed June 7, 2026. https://singulariki.com/roles/role-15-1253-00

APA

Singulariki. (2026). Software Quality Assurance Analysts and Testers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-15-1253-00

BibTeX
@misc{singulariki-role-15-1253-00,
  title  = {Software Quality Assurance Analysts and Testers},
  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. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-15-1253-00}
}

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

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