You find a role on LinkedIn that looks close enough. Before applying, you search the company name plus “H1B sponsor” and open whatever comes up first. One page says the company sponsored in the past. Another shows filings from years ago. The job post itself says nothing about sponsorship.
That is the trap. A company-level H-1B result feels like an answer, but it is only the first clue.
If you need sponsorship, start broad. Build a target list of employers that have sponsored before, then narrow it by role, location, wage context, and posting language. The mistake is jumping from “this company has H-1B records” to “this job is worth applying to.”
FrogHire.ai’s company database is built for that pre-application check. You can search employers and compare H-1B history, PERM records, E-Verify signals, Non-STEM history, ICC flags, salary context, locations, industries, job fields, job titles, worker background, and contacts when data is available.
Use sponsor lists for discovery, not decisions
Generic H1B sponsor lists are useful for discovery. They are weak for decision-making.
A company may sponsor software engineers but not business analysts. It may have strong filings in Seattle and almost none in another office. It may have old H-1B filings but little recent activity. It may sponsor experienced candidates while entry-level roles remain difficult.
Use a sponsor list to find names. Use company data to decide what to do with those names.
| Search result | What it can tell you | What you still need to check |
|---|---|---|
| ”Company X sponsored H-1B before” | The employer has past records | Whether your role, location, and level match |
| ”Top H1B sponsoring companies” | High-volume employers | Whether the current opening fits the pattern |
| PERM sponsor data | Long-term immigration activity | Whether that applies to your path |
| E-Verify employer data | STEM OPT relevance for some candidates | It does not prove H-1B sponsorship |
| Salary and LCA context | Wage and location patterns | Exact legal eligibility or petition outcome |
This will not predict the outcome. It will keep you from treating every “maybe” role as worth a custom resume and a 30-minute ATS form.
What FrogHire.ai company data adds
FrogHire.ai’s company dataset includes more than 150,000 companies with H-1B records and millions of H-1B case references. In the data, high-volume employers include Amazon, Cognizant, Google, TATA Consultancy Services, Ernst & Young, Microsoft, Infosys, Deloitte, Apple, IBM, Accenture Federal Services, Meta, and JP Morgan Chase.
Here are examples from the company database:
| Company | H-1B records | PERM records | Non-STEM records |
|---|---|---|---|
| Amazon | 94,095 | 21,993 | 14,783 |
| 58,472 | 13,706 | 5,866 | |
| Microsoft | 51,694 | 13,949 | 4,798 |
| Deloitte | 40,887 | 3,086 | 11,005 |
| Apple | 26,255 | 5,731 | 2,253 |
| Meta | 21,546 | 1,085 | 1,363 |
| JP Morgan Chase | 18,722 | 2,404 | 3,767 |
These numbers should not make you careless. They do not mean every job at those employers is sponsor-friendly. They do mean you can move past rumor and check the employer pattern before investing more effort.
How to build a better H-1B target company list
Use this workflow before you open the application form.
1. Start with employers that have records
Start with the exact company name in FrogHire.ai’s company database. If the company has multiple legal entities, compare the names carefully. Large employers often file under names that differ from the brand candidates know.
For example, if you are checking whether Amazon, Google, or Microsoft sponsors H-1B for roles like yours, the company detail page is more useful than a generic sponsor list. You can compare H-1B, PERM, salary, location, and job-title patterns before deciding whether to apply.
2. Check H-1B and PERM together
H-1B history tells you whether the employer has filed before. PERM history can show whether the company has handled employment-based green card steps. Neither is a promise, but together they give you a better read than H-1B alone.
The USCIS H-1B page is clear that H-1B is employer-driven. The employer’s history matters because you cannot sponsor yourself through a job posting.
3. Separate E-Verify from H-1B sponsorship
E-Verify can matter for STEM OPT planning. It is not the same as H-1B sponsorship. Treat it as a separate signal, especially if you are comparing companies for internship, OPT, STEM OPT, and full-time paths.
4. Look at job titles, not just company totals
This is where many candidates make the expensive mistake.
If you are applying for Data Analyst roles, a company’s sponsorship history for Software Engineers is useful but incomplete. You want to see whether related titles appear: Data Analyst, Business Analyst, Data Engineer, Product Analyst, BI Analyst, Analytics Engineer, or similar roles.
Recent FrogHire.ai LCA data shows frequent sponsored titles such as Software Engineer, Software Development Engineer, Data Engineer, Data Scientist, Assistant Professor, Project Manager, Business Analyst, Product Manager, Data Analyst, and Research Scientist. Use the company page to see whether the employer’s history overlaps with your target role.
5. Check salary and location before tailoring the resume
Location matters. Salary context matters. A company may sponsor in one city more often than another. A role may look plausible until the wage and location context make it weaker.
If wage level matters for the role, compare company salary context with the FrogHire.ai Prevailing Wage Map.
A sponsor-aware application filter
Before you tailor your resume, ask:
- Does this employer have H-1B history?
- Does it have PERM history if long-term planning matters?
- Does E-Verify matter for my current status?
- Do past job titles look similar to this role?
- Does the location fit the employer’s pattern?
- Does the job post contain “no sponsorship” language?
- Is this role worth a tailored resume and a full application?
If the answer is weak, save your energy. If the answer is strong, move to the next step: resume tailoring, application autofill, and tracking.
That is where FrogHire.ai becomes more useful than a database alone. While you browse job posts, you can connect sponsor research with job analysis, resume improvement, autofill, and Job Manager instead of scattering the same role across tabs, spreadsheets, and old database pages.
What to do when the job post is silent about sponsorship
Silent postings are common. Silence does not mean yes. It also does not mean no.
Look for language such as “will not sponsor,” “must not require sponsorship now or in the future,” or “authorized to work without employer sponsorship.” If the post is vague, use company history and job-title patterns to decide whether to apply, ask a recruiter, or move on.
For a browser-based workflow, read the best H-1B sponsor checker Chrome extension comparison. For broader search setup, use the visa sponsorship jobs filter workflow.
FAQ
How do I find companies that sponsor H-1B?
Search the employer in FrogHire.ai’s company database, then check H-1B records, PERM records, E-Verify signal, job titles, salary, location, and posting language.
What is the best way to do an H1B sponsor company lookup?
Start with the employer, then check whether its H-1B history overlaps with your role, location, and level. A broad sponsor list is useful, but the company detail page is where the application decision happens.
Does H-1B history mean the company will sponsor me?
No. H-1B history means the employer has sponsored before. It does not prove sponsorship for your exact role, salary, location, or candidate profile.
Should I apply only to companies with H-1B records?
Not always. But if you need sponsorship, company history is one of the best early filters. Use it to decide where to spend serious resume and application effort.
Is E-Verify the same as H-1B sponsorship?
No. E-Verify is an employment eligibility verification system. It can matter for some OPT and STEM OPT decisions, but it does not prove H-1B sponsorship.
The next step
Before your next serious application, search the employer in FrogHire.ai’s company database. If the company signal, role signal, salary context, and posting language make sense, then tailor your resume and apply.