Rigor AI — 2 certified H-1B filings (FY2026)

2
Filings · FY2026
$150k
Median base · FY2026
Member of Technical Staff
Top role · 1 all-time
TX
Top state · 1 all-time
FY

Rigor AI filed 2 certified H-1B LCAs in FY2026, with a median base salary of $150k and the middle 50% of offers between $150k and $164k. That is 12% above the market median for the same job titles. Across all years it has 2 certified filings since FY2026, most often for Member of Technical Staff in Texas.

How much does Rigor AI pay H-1B workers?

Certified base salary by fiscal year: each box is the p25–p75 range, the heavy line the median, the whiskers reach p10–p90. $150k median in FY2026. Base pay only — hover a year for its figures.

$140k$150k$160k$170k’26

How has Rigor AI's H-1B hiring changed by year?

2 certified filings on record (FY2026).

Rigor AI certified H-1B filings and base salary by fiscal year
Fiscal yearFilingsvs prior FYMedian base
FY20262—$150k

Which wage levels does Rigor AI file?

DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 50% of Rigor AI's filings sit at Level III–IV. A heavy I–II skew reads as entry-level or contractor-style hiring; a heavy IV skew as senior in-house roles — and higher levels earn more lottery entries.

Share of 2 filings with a wage level · all years

50%
50%
  • Level II50.0%1
  • Level III50.0%1

What jobs does Rigor AI sponsor for H-1B?

The most-filed job titles across all years (DOL titles, employer pay-grade codes stripped), with base-salary percentiles.

Rigor AI most-sponsored H-1B job titles with base-salary percentiles
Job titleFilingsMedian base
Member of Technical Staff1$164k
Product Manager1$150k

Where does Rigor AI hire H-1B workers?

Worksite states on the certified filings, all years. Deeper pink = more filings; hover a state for its figures.

11Certified filings (log scale)
Rigor AI H-1B worksite states
StateFilingsMedian base
TX1$150k
CA1$164k

What has Rigor AI filed recently?

Every certified LCA on record for Rigor AI: job title, worksite, prevailing-wage level and the offered base salary.

Rigor AI recent certified H-1B LCA filings
FYJob titleBase salary
2026Product Manager$150,000
2026Member of Technical Staff$164,403

Common questions about Rigor AI's H-1B filings

How much does Rigor AI pay H-1B workers?
Rigor AI's median certified H-1B base salary is $150k (FY2026), from 2 filings. See the full salary distribution and percentiles above.
How many H-1B workers does Rigor AI sponsor?
Rigor AI has 2 certified H-1B Labor Condition Applications on record (FY2026).
What jobs does Rigor AI sponsor for H-1B?
Rigor AI's most-sponsored H-1B roles include Member of Technical Staff, Product Manager.
Where does Rigor AI hire H-1B workers?
Rigor AI's top H-1B worksite states are TX, CA.
Does a certified LCA mean an H-1B visa was approved?
No. A Labor Condition Application (LCA) is the Department of Labor attestation an employer must have certified before filing an H-1B petition with USCIS. It records the job, worksite and offered wage, but not whether the petition was filed, selected in the lottery, or approved. Filing counts measure intent to sponsor, not headcount.
What salary do these figures show?
The base annual wage offered on the certified LCA, converted to a yearly amount. Bonus, equity, overtime and benefits are not included, so total compensation is typically higher. Figures are medians and percentiles over certified filings; wages above $5,000,000 a year are excluded as data-entry errors.
What do prevailing-wage levels I–IV mean?
The Department of Labor assigns each LCA an OES wage level from I (entry) to IV (fully competent) for the occupation and area. Under the FY2027 wage-weighted H-1B lottery rule, a higher level earns more selection entries, so an employer's level mix is a proxy for how senior its sponsored roles are.

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Source: U.S. Department of Labor, Office of Foreign Labor Certification — certified LCA disclosure data through June 2026 (FY2026). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →