Build the evidence moat
Share salary evidence without publishing your salary
Jobiba can learn from individual compensation without turning people into public salary records. Contribute self-reported data or optionally prove that an offer document contains a matching CTC—the document itself is discarded.
Private contribution
Sign in before sharing salary evidence
Jobiba uses your account only to create a one-way keyed contributor fingerprint for duplicate control. The salary-contribution table does not store your raw user ID.
Sign in securely →Self-reported ≠ verified
A typed salary is labelled UNVERIFIED evidence. It can be useful in aggregate later, but Jobiba does not pretend a self-report has been independently verified.
Document-backed ≠ employer verified
If an offer document’s extracted CTC closely matches the submitted salary, Jobiba labels the row DOCUMENT_BACKED. That proves consistency with the supplied document, not that Jobiba contacted the employer.
Public statistics need a crowd
Individual contributions never get public URLs. Even with consent, Jobiba must aggregate enough comparable evidence and apply privacy/evidence thresholds before any future public statistic can use it.
Privacy architecture
What Jobiba keeps—and what it deliberately does not
Stored privately
- • Canonical role and market
- • Annual salary and currency
- • Experience years when supplied
- • Evidence class and consent choice
- • One-way keyed contributor fingerprint for duplicate control
- • One-way document fingerprint for duplicate-document control
Not stored in the contribution row
- • Raw Jobiba user ID
- • Uploaded offer document
- • Raw extracted offer-letter text
- • Public name or profile link
- • A public individual salary page
- • Automatic inclusion in employer job-listing salary snapshots
Why this matters
Employer-listed salaries tell us the market. Private contributions can eventually tell us what people actually receive.
Jobiba’s current public salary system intentionally relies on employer/source salary-bearing jobs. Keeping contributions separate lets us build a second evidence stream without contaminating the first. If enough privacy-safe evidence accumulates, future reports can compare advertised pay with aggregated contributed pay—and clearly label the difference.