peer review jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, peer review appears in 232 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning peer review, with demand share up 26.4% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about peer review
+Is peer review in demand in 2026?
Yes. peer review appears in 232 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning peer review (31.9% of all postings mentioning peer review).
+What jobs require peer review?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning peer review are Detection Engineer (14.3% of that role’s postings mention peer review), Software Quality Assurance Analyst (4.3% of that role’s postings mention peer review), Analytics Engineering Manager (4.2% of that role’s postings mention peer review).
+What skills are commonly paired with peer review?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), peer review most often appears alongside Python, Automated testing, CI/CD, Java, secure coding.
+Where is peer review most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring peer review are San Francisco, Jersey City, London, Westminster, Palo Alto, according to the Skillenai jobs index.
+How can I keep up with new peer review content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning peer review alongside the jobs index. You can subscribe to a daily email digest of new peer review content from your Skillenai account.
+Which skills come before and after peer review?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring peer review — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around peer review
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before peer review
Skills after peer review
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: UI/UX Designers | 1 |
| Before: PHP | 1 |
| Before: python | 1 |
| Before: MYSQL | 1 |
| Before: PowerShell | 1 |
| Before: OS/browser compatibility testing | 1 |
| Before: Functionality Testing | 1 |
| Before: website | 1 |
| After: Catalog | 1 |
| After: cloud operations | 1 |
| After: ci/cd | 1 |
| After: containers | 1 |
| After: third-party | 1 |
| After: Fast Lane | 1 |
| After: high availability | 1 |
| After: PII data | 1 |
Roles most likely to require peer review
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Detection Engineer | 4 | 14.3% |
| Software Quality Assurance Analyst | 1 | 4.3% |
| Analytics Engineering Manager | 1 | 4.2% |
| Lead Software Engineer | 3 | 3.6% |
| Azure DevOps Engineer | 1 | 3.3% |
| Quality Assurance Auditor | 1 | 3.3% |
| Information Technology Specialist | 1 | 3.0% |
| Flight Software Engineer | 3 | 2.9% |
| AI Evaluation Expert | 1 | 2.8% |
| Data Engineering Intern | 1 | 2.7% |
Roles with the most peer review postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 74 | 31.9% |
| Embedded Software Engineer | 14 | 6.0% |
| Business Analyst | 7 | 3.0% |
| Security Engineer | 6 | 2.6% |
| Data Engineer | 5 | 2.2% |
| Data Scientist | 4 | 1.7% |
| Detection Engineer | 4 | 1.7% |
| AI Research Manager | 3 | 1.3% |
| Data Analyst | 3 | 1.3% |
| Engineering Manager | 3 | 1.3% |
Top companies posting jobs requiring peer review
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| JPMorgan Chase & Co. | 38 |
| 28 | |
| OpenBrain | 17 |
| CesiumAstro | 16 |
| Version 1 | 5 |
| Globalpr | 4 |
| Gartner | 4 |
| Instacart | 4 |
| Informa | 4 |
| Thought Machine | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for peer review
| Name | Postings | Share |
|---|---|---|
| San Francisco | 17 | 7.3% |
| Jersey City | 10 | 4.3% |
| London | 8 | 3.4% |
| Westminster | 7 | 3.0% |
| Palo Alto | 6 | 2.6% |
| Edinburgh | 5 | 2.2% |
| Austin | 4 | 1.7% |
| Houston | 4 | 1.7% |
| El Segundo | 3 | 1.3% |
Skills commonly paired with peer review
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning peer review by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s peer review postings by all peer review postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- c01312fb7fbd7aa6
- data_as_of
- 2026-09-30
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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