Omni AI — 2 certified H-1B filings (FY2017–FY2018)

1
Filings · FY2018
$127k
Median base · FY2018
Applied Machine Learning Specialist
Top role · 2 all-time
TX
Top state · 2 all-time
FY

Omni AI filed 1 certified H-1B LCAs in FY2018, with a median base salary of $127k and the middle 50% of offers between $127k and $127k. Across all years it has 2 certified filings since FY2017, most often for Applied Machine Learning Specialist in Texas.

How much does Omni 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. $127k median in FY2018. Base pay only — hover a year for its figures.

$110k$120k$130k$140k’17’18

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

1 certified filings in FY2017 → 1 in FY2018. The change column is each year against the one before.

Omni AI certified H-1B filings and base salary by fiscal year
Fiscal yearFilingsvs prior FYMedian base
FY201810%$127k
FY20171—$127k

Which wage levels does Omni AI file?

DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 100% of Omni 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 1 filings with a wage level · all years

100%
  • Level III100.0%1

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

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

Omni AI most-sponsored H-1B job titles with base-salary percentiles
Job titleFilingsMedian base
Applied Machine Learning Specialist2$127k

Where does Omni AI hire H-1B workers?

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

22Certified filings (log scale)
Omni AI H-1B worksite states
StateFilingsMedian base
TX2$127k

What has Omni AI filed recently?

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

Omni AI recent certified H-1B LCA filings
FYJob titleBase salary
2018Applied Machine Learning Specialist$127,000
2017Applied Machine Learning Specialist$127,000

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

How much does Omni AI pay H-1B workers?
Omni AI's median certified H-1B base salary is $127k (FY2018), from 1 filings. See the full salary distribution and percentiles above.
How many H-1B workers does Omni AI sponsor?
Omni AI has 2 certified H-1B Labor Condition Applications on record (FY2017–FY2018).
What jobs does Omni AI sponsor for H-1B?
Omni AI's most-sponsored H-1B roles include Applied Machine Learning Specialist.
Where does Omni AI hire H-1B workers?
Omni AI's top H-1B worksite states are TX.
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 (FY2017–FY2018). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →