Tap AI — 3 certified H-1B filings (FY2025–FY2026)

1
Filings · FY2025
$200k
Median base · FY2025
Engineer
Top role · 2 all-time
CA
Top state · 3 all-time
FY

Tap AI filed 1 certified H-1B LCAs in FY2025, with a median base salary of $200k and the middle 50% of offers between $200k and $200k. That is 105% above the market median for the same job titles. Across all years it has 3 certified filings since FY2025, most often for Engineer in California.

How much does Tap 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. $200k median in FY2025. Base pay only — hover a year for its figures.

$160k$180k$200k$220k$240k$260k’25’26

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

1 certified filings in FY2025 → 2 in FY2026. The change column is each year against the one before.

Tap AI certified H-1B filings and base salary by fiscal year
Fiscal yearFilingsvs prior FYMedian base
FY20262+100%$180k
FY20251—$200k

Which wage levels does Tap AI file?

DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 0% of Tap 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 3 filings with a wage level · all years

67%
33%
  • Level I66.7%2
  • Level II33.3%1

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

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

Tap AI most-sponsored H-1B job titles with base-salary percentiles
Job titleFilingsMedian base
Engineer2$180k
AI Software Engineer1$200k

Where does Tap AI hire H-1B workers?

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

33Certified filings (log scale)
Tap AI H-1B worksite states
StateFilingsMedian base
CA3$200k

What has Tap AI filed recently?

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

Tap AI recent certified H-1B LCA filings
FYJob titleBase salary
2026Engineer$240,000
2026Engineer$180,000
2025AI Software Engineer$200,000

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

How much does Tap AI pay H-1B workers?
Tap AI's median certified H-1B base salary is $200k (FY2025), from 1 filings. See the full salary distribution and percentiles above.
How many H-1B workers does Tap AI sponsor?
Tap AI has 3 certified H-1B Labor Condition Applications on record (FY2025–FY2026).
What jobs does Tap AI sponsor for H-1B?
Tap AI's most-sponsored H-1B roles include Engineer, AI Software Engineer.
Where does Tap AI hire H-1B workers?
Tap AI's top H-1B worksite states are 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 (FY2025–FY2026). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →