The employer label attached to the record. Generic source labels are not promoted as company entities.
Data methodology
How Hidden Jobs turns changing job records into a usable directory.
This page documents the rules behind the directory: what a record means, how source links are treated, how categories and regions are used, and where the system deliberately avoids making unsupported claims.
Core record
What Hidden Jobs actually stores
The directory is built from structured job records rather than copied descriptions.
The job title used for search, sorting, title-pattern analysis, and the outbound source link.
The stored URL used to open the employer site, employer-selected ATS, or another external source where applicable.
Location is kept separate from broader regional classification because remote eligibility is often geographically restricted.
Remote, Hybrid, and Onsite are treated as work arrangements rather than geographic promises.
The role category powers permanent profession pages and role-based intersections.
Created and updated timestamps support freshness signals and recently discovered-job counts.
Source metadata helps distinguish records without pretending every outbound URL is an employer-owned domain.
Classification rules
Remote is not the same thing as Worldwide.
Remote describes how the job can be worked. Worldwide describes a geographic hiring scope stored in the region field. A remote opening can still be limited to one country or region.
Regional pages may include Worldwide-classified remote roles when they are potentially relevant to people in that region. The card keeps the underlying region visible so the broader inclusion rule is transparent.
Hybrid and Onsite pages do not automatically add Worldwide inventory because physical workplace requirements make location a stronger part of the search intent.
What we do not infer
SalaryNot fabricated
Visa sponsorshipVerify at source
SeniorityRead from title/source
Company fundingNot guessed
SkillsNot invented from category
When richer fields are not standardized in the current data model, Hidden Jobs leaves them out rather than synthesizing them into fake certainty.
Live analysis
How directory insights are calculated
Use the page's own query
Insights are generated from records that match that exact directory, so Europe Engineering is analyzed separately from Worldwide Engineering or Hybrid Engineering.
Analyze the latest sample
The snapshot uses up to the latest 250 matching records and reports that sample size visibly. It summarizes current Hidden Jobs inventory rather than claiming to represent the entire labor market.
Surface observable patterns
Companies, categories, locations, work modes, title terms, and source platforms are counted directly from the records. No narrative trend is invented when the data does not support it.
Build proprietary history over time
As directory pages are visited, Hidden Jobs stores daily inventory snapshots. Once enough history exists, pages can show measured inventory movement without pretending it is a complete hiring-market forecast.
Company enrichment
Official company context, separated from live hiring data.
For selected employers that appear frequently in Hidden Jobs, the company page can include a short description, the official company website, the official careers page, and a verified work-context note. Those facts are curated from company-owned public material and carry a visible verification date.
Current job counts, role mix, location mix, work modes, title signals, and hiring platforms are calculated separately from the Hidden Jobs database. That distinction helps readers and AI systems understand which statements come from the company and which come from the live directory.
Hidden Jobs does not automatically publish company news or funding updates. Time-sensitive news becomes stale quickly and can introduce unsupported claims. The “current update” on a company page is its observable hiring footprint in the Hidden Jobs dataset.
Enrichment policy
WebsiteOfficial source only
Careers pageOfficial source only
Company summaryOfficially verified
Live hiring mixHidden Jobs data
News / fundingNot auto-published
Geographic normalization
City and state pages come from source-location signals, not keyword multiplication.
Hidden Jobs preserves the original location string from each job record. A separate normalization map recognizes selected countries, states or provinces, and cities so a label such as Dallas can roll up to Texas and the United States without rewriting the source data.
Country pages can aggregate recognized state, province, and city labels. State and province pages can aggregate recognized cities beneath them. City pages remain narrow: they do not automatically absorb every country-wide or state-wide opening.
The initial United States and Canada expansion was selected from the live inventory. Low-volume Toronto, Montreal, Calgary, Dallas Remote, and other combinations were deliberately not published as standalone indexed pages until their data is strong enough.
Geography rules
Original locationPreserved
Country roll-upRecognized aliases only
State / province roll-upMapped cities included
City pagesCity signal required
Placeholder URLsNot generated
Search quality
Not every generated URL deserves indexing.
Hidden Jobs can technically generate many role, region, work-mode, and company combinations. That does not mean every combination belongs in a search engine.
The plugin applies inventory thresholds before a dynamic directory is treated as indexable. Thin routes can remain useful for users and internal navigation while staying noindex, follow and out of the directory sitemap until their inventory is strong enough.
This keeps the permanent URL architecture useful without turning programmatic SEO into index bloat.
FAQ
Data and methodology questions
Specific answers about the rules that control the Hidden Jobs directory.
What does a job record contain on Hidden Jobs?
The core dataset stores a job identifier, company label, title, source URL, location, work mode, region, category, source marker, and timestamps. Pages are built from those fields rather than from copied job descriptions.
Does Hidden Jobs guarantee that every source link is an employer-owned website?
No. Many links point to employer-selected applicant tracking systems such as Greenhouse or Lever, while some records can originate from an external job source. Hidden Jobs now labels source context more carefully instead of describing every outbound link as an employer-owned page.
How does Hidden Jobs interpret Remote and Worldwide?
Remote is treated as a work arrangement. Worldwide is treated as a geographic scope. A role can therefore be Remote without being open worldwide, and a Worldwide role can still contain employer-specific legal or time-zone restrictions.
Why are some programmatic pages noindex?
A route can be useful for navigation without being strong enough for search indexing. Hidden Jobs applies inventory thresholds so thin intersections are not automatically promoted into the sitemap just because a URL can be generated.
How are company pages enriched?
Every company page uses live Hidden Jobs inventory. For selected employers, Hidden Jobs also adds a small curated profile using the company’s own website and careers page. Unknown facts are left blank rather than guessed.
How are live market snapshots calculated?
Directory insight sections summarize up to the latest 250 matching records, showing observable patterns such as common companies, locations, categories, work modes, and title terms. The page states the sample size so the analysis is not presented as a broader labor-market census.
Does Hidden Jobs publish salary or funding estimates?
Not unless a standardized, verifiable source is available. The current directory does not fabricate salary ranges, funding rounds, company size, or skills simply to make pages longer.
Does Hidden Jobs automatically publish company news or funding updates?
No. Time-sensitive company news can become stale quickly. Company pages focus on verified official company links and the current hiring footprint visible in the Hidden Jobs dataset instead of automatically generating news summaries.