Visual Semantics — 1 certified H-1B filings (FY2022)
- 1
- Filings · FY2022
- $120k
- Median base · FY2022
- Machine Learning / Artificial Intelligence Engineer
- Top role · 1 all-time
- TX
- Top state · 1 all-time
Visual Semantics filed 1 certified H-1B LCAs in FY2022, with a median base salary of $120k and the middle 50% of offers between $120k and $120k. Across all years it has 1 certified filings since FY2022, most often for Machine Learning / Artificial Intelligence Engineer in Texas.
How much does Visual Semantics 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. $120k median in FY2022. Base pay only — hover a year for its figures.
How has Visual Semantics's H-1B hiring changed by year?
1 certified filings on record (FY2022).
| Fiscal year | Filings | vs prior FY | Median base |
|---|---|---|---|
| FY2022 | 1 | — | $120k |
Which wage levels does Visual Semantics file?
DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 100% of Visual Semantics'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
- Level III100.0%1
What jobs does Visual Semantics 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 |
|---|---|---|
| Machine Learning / Artificial Intelligence Engineer | 1 | $120k |
Where does Visual Semantics 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 | 1 | $120k |
What has Visual Semantics filed recently?
Every certified LCA on record for Visual Semantics: job title, worksite, prevailing-wage level and the offered base salary.
| FY | Job title | Base salary |
|---|---|---|
| 2022 | Machine Learning / Artificial Intelligence Engineer | $120,000 |
Common questions about Visual Semantics's H-1B filings
- How much does Visual Semantics pay H-1B workers?
- Visual Semantics's median certified H-1B base salary is $120k (FY2022), from 1 filings. See the full salary distribution and percentiles above.
- How many H-1B workers does Visual Semantics sponsor?
- Visual Semantics has 1 certified H-1B Labor Condition Applications on record (FY2022).
- What jobs does Visual Semantics sponsor for H-1B?
- Visual Semantics's most-sponsored H-1B roles include Machine Learning / Artificial Intelligence Engineer.
- Where does Visual Semantics hire H-1B workers?
- Visual Semantics'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 (FY2022). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →