Spreeai — 2 certified H-1B filings (FY2024–FY2026)

1
Filings · FY2024
$156k
Median base · FY2024
Head of Machine Learning
Top role · 1 all-time
CA
Top state · 1 all-time
FY

Spreeai filed 1 certified H-1B LCAs in FY2024, with a median base salary of $156k and the middle 50% of offers between $156k and $156k. Across all years it has 2 certified filings since FY2024, most often for Head of Machine Learning in California.

How much does Spreeai 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. $156k median in FY2024. Base pay only — hover a year for its figures.

$100k$200k$300k$400k$500k’24’26

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

1 certified filings in FY2024 → 1 in FY2026. The change column is each year against the one before.

Spreeai certified H-1B filings and base salary by fiscal year
Fiscal yearFilingsvs prior FYMedian base
FY202610%$385k
FY20241—$156k

Which wage levels does Spreeai file?

DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 100% of Spreeai'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

100%
  • Level IV100.0%2

What jobs does Spreeai sponsor for H-1B?

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

Spreeai most-sponsored H-1B job titles with base-salary percentiles
Job titleFilingsMedian base
Head of Machine Learning1$385k
Research Scientist1$156k

Where does Spreeai 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)
Spreeai H-1B worksite states
StateFilingsMedian base
CA1$385k
NY1$156k

What has Spreeai filed recently?

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

Spreeai recent certified H-1B LCA filings
FYJob titleBase salary
2026Head of Machine Learning$385,000
2024Research Scientist$155,958

Common questions about Spreeai's H-1B filings

How much does Spreeai pay H-1B workers?
Spreeai's median certified H-1B base salary is $156k (FY2024), from 1 filings. See the full salary distribution and percentiles above.
How many H-1B workers does Spreeai sponsor?
Spreeai has 2 certified H-1B Labor Condition Applications on record (FY2024–FY2026).
What jobs does Spreeai sponsor for H-1B?
Spreeai's most-sponsored H-1B roles include Head of Machine Learning, Research Scientist.
Where does Spreeai hire H-1B workers?
Spreeai's top H-1B worksite states are CA, NY.
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 (FY2024–FY2026). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →