Alegion — 2 certified H-1B filings (FY2018–FY2021)
- 1
- Filings · FY2021
- $125k
- Median base · FY2021
- Applied ML Engineer - Computer Vision
- Top role · 1 all-time
- TX
- Top state · 2 all-time
Alegion filed 1 certified H-1B LCAs in FY2021, with a median base salary of $125k and the middle 50% of offers between $125k and $125k. Across all years it has 2 certified filings since FY2018, most often for Applied ML Engineer - Computer Vision in Texas.
How much does Alegion 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. $125k median in FY2021. Base pay only — hover a year for its figures.
How has Alegion's H-1B hiring changed by year?
1 certified filings in FY2018 → 1 in FY2021. The change column is each year against the one before.
| Fiscal year | Filings | vs prior FY | Median base |
|---|---|---|---|
| FY2021 | 1 | 0% | $125k |
| FY2018 | 1 | — | $125k |
Which wage levels does Alegion file?
DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 100% of Alegion'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
- Level IV100.0%2
What jobs does Alegion sponsor for H-1B?
The most-filed job titles across all years (DOL titles, employer pay-grade codes stripped), with base-salary percentiles.
| Job title | Filings | Median base |
|---|---|---|
| Applied ML Engineer - Computer Vision | 1 | $125k |
| Applied Research Engineer | 1 | $125k |
Where does Alegion hire H-1B workers?
Worksite states on the certified filings, all years. Deeper pink = more filings; hover a state for its figures.
| State | Filings | Median base |
|---|---|---|
| TX | 2 | $125k |
What has Alegion filed recently?
Every certified LCA on record for Alegion: job title, worksite, prevailing-wage level and the offered base salary.
| FY | Job title | Base salary |
|---|---|---|
| 2021 | Applied Research Engineer | $125,000 |
| 2018 | Applied ML Engineer - Computer Vision | $125,000 |
Common questions about Alegion's H-1B filings
- How much does Alegion pay H-1B workers?
- Alegion's median certified H-1B base salary is $125k (FY2021), from 1 filings. See the full salary distribution and percentiles above.
- How many H-1B workers does Alegion sponsor?
- Alegion has 2 certified H-1B Labor Condition Applications on record (FY2018–FY2021).
- What jobs does Alegion sponsor for H-1B?
- Alegion's most-sponsored H-1B roles include Applied ML Engineer - Computer Vision, Applied Research Engineer.
- Where does Alegion hire H-1B workers?
- Alegion'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 (FY2018–FY2021). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →