Zetta AI — 2 certified H-1B filings (FY2019–FY2024)
- 1
- Filings · FY2024
- $150k
- Median base · FY2024
- Computer Information Research Scientist
- Top role · 2 all-time
- NJ
- Top state · 1 all-time
Zetta AI filed 1 certified H-1B LCAs in FY2024, with a median base salary of $150k and the middle 50% of offers between $150k and $150k. Across all years it has 2 certified filings since FY2019, most often for Computer Information Research Scientist in New Jersey.
How much does Zetta 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. $150k median in FY2024. Base pay only — hover a year for its figures.
How has Zetta AI's H-1B hiring changed by year?
1 certified filings in FY2019 → 1 in FY2024. The change column is each year against the one before.
| Fiscal year | Filings | vs prior FY | Median base |
|---|---|---|---|
| FY2024 | 1 | 0% | $150k |
| FY2019 | 1 | — | $131k |
Which wage levels does Zetta AI file?
DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 100% of Zetta 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 2 filings with a wage level · all years
- Level III100.0%2
What jobs does Zetta AI 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 |
|---|---|---|
| Computer Information Research Scientist | 2 | $131k |
Where does Zetta AI 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 |
|---|---|---|
| NJ | 1 | $131k |
| NY | 1 | $150k |
What has Zetta AI filed recently?
Every certified LCA on record for Zetta AI: job title, worksite, prevailing-wage level and the offered base salary.
| FY | Job title | Base salary |
|---|---|---|
| 2024 | Computer Information Research Scientist | $150,000 |
| 2019 | Computer Information Research Scientist | $131,144 |
Common questions about Zetta AI's H-1B filings
- How much does Zetta AI pay H-1B workers?
- Zetta AI's median certified H-1B base salary is $150k (FY2024), from 1 filings. See the full salary distribution and percentiles above.
- How many H-1B workers does Zetta AI sponsor?
- Zetta AI has 2 certified H-1B Labor Condition Applications on record (FY2019–FY2024).
- What jobs does Zetta AI sponsor for H-1B?
- Zetta AI's most-sponsored H-1B roles include Computer Information Research Scientist.
- Where does Zetta AI hire H-1B workers?
- Zetta AI's top H-1B worksite states are NJ, 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 (FY2019–FY2024). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →