Certification Rate
80%
10 H-1B petitions, 80% certified, $133,804 median salary, FY2023–2025.
San Jose, CA NAICS: 541511
The verdict
AiNaDoctor Inc filed 10 H-1B petitions, more than 86% of U.S. sponsors - certified at 80% with a $133,804 median offered wage.
Based in San Jose, CA. Computed live from U.S. Department of Labor LCA disclosures.
H-1B sponsorship profile: AiNaDoctor Inc. Across U.S. Department of Labor LCA disclosures, AiNaDoctor Inc filed 10 Labor Condition Applications covering 10 H-1B worker positions between fiscal year 2023 and fiscal year 2025. The employer’s DOL certification rate sits at 80% (8 certified of 10 filed), a useful proxy for how cleanly their prevailing-wage attestations pass the Labor Department’s preliminary review before USCIS adjudication.
Compensation spread. Offered wages on AiNaDoctor Inc’s H-1B petitions range from $91,021 at the low end to $149,000 at the high end, with a petition-weighted average of $133,804. That range reflects the mix of occupations the company sponsors, led by Software Engineer, Mobile AI (3 petitions at $140,000 avg), followed by Software Engineer, Machine Learning and Software Engineer, Machine Learning Engineer. H-1B salaries reported on LCAs must meet or exceed the DOL prevailing wage for the role and worksite, so the spread also tracks wage-level geography and seniority.
Geographic footprint. AiNaDoctor Inc is headquartered in San Jose, CA under NAICS code 541511, and places H-1B workers across 2 states, most heavily in CA, MI. Combined, these signals give a granular view of how one employer uses the H-1B program, volume, approval cleanliness, wage posture, and where the jobs actually sit on the map.
Where AiNaDoctor Inc ranks. By H-1B petition volume, AiNaDoctor Inc is #16,610 of 119,880 employers nationally and #2,625 of 22,893 employers headquartered in CA. Both ranks are computed live from the same underlying petition counts, not a separate estimate.
Certification Rate
80%
Avg. Salary
$133,804
Median Salary
$133,804
Total Workers
10
AiNaDoctor Inc vs a peer vs the national average, from DOL LCA data.
Compensation range for H-1B positions at AiNaDoctor Inc
Wage vs. DOL Minimum
+2.1%
national avg +17.9%
Typical DOL Wage Level
Entry (Level I)
80% of petitions
Full-Time Positions
100%
Primary Worksite County
SANTA CLARA, CA
80% of petitions
H-1B filing trends from FY2023 to FY2025
| Year | Petitions | Certified | Avg. Salary |
|---|---|---|---|
| FY2023 | 3 | 1 | $123,674 |
| FY2024 | 5 | 5 | $133,804 |
| FY2025 | 2 | 2 | $149,000 |
Most frequently sponsored job titles at AiNaDoctor Inc
| Job Title | Petitions | Avg. Salary |
|---|---|---|
| Software Engineer, Mobile AI | 3 | $140,000 |
| Software Engineer, Machine Learning | 3 | $146,000 |
| Software Engineer, Machine Learning Engineer | 2 | $91,021 |
| Machine Learning Engineer | 2 | $149,000 |
Where AiNaDoctor Inc places H-1B workers across the United States
Latest H-1B labor condition applications filed by AiNaDoctor Inc
| Job Title | Location | Salary | Status | Year |
|---|---|---|---|---|
| Machine Learning Engineer | San Jose, CA | $149,000 | Certified | FY2025 |
| Machine Learning Engineer | San Jose, CA | $149,000 | Certified | FY2025 |
| Software Engineer, Machine Learning | San Jose, CA | $149,000 | Certified | FY2024 |
| Software Engineer, Machine Learning | San Jose, CA | $149,000 | Certified | FY2024 |
| Software Engineer, Machine Learning | San Jose, CA | $140,000 | Certified | FY2024 |
| Software Engineer, Mobile AI | San Jose, CA | $140,000 | Certified | FY2024 |
| Software Engineer, Machine Learning Engineer | Bingham Farms, MI | $91,021 | Certified | FY2024 |
| Software Engineer, Machine Learning Engineer | Bingham Farms, MI | $91,021 | Withdrawn | FY2023 |
| Software Engineer, Mobile AI | San Jose, CA | $140,000 | Certified | FY2023 |
| Software Engineer, Mobile AI | San Jose, CA | $140,000 | Denied | FY2023 |
Other H-1B sponsors based in CA, ranked by petition volume
Essential resources for understanding H-1B visa sponsorship
Step-by-step guide from LCA filing to work authorization
Understanding prevailing wage levels I through IV
How to read and interpret DOL LCA disclosure data
Compare salaries by occupation, state, and wage level
AiNaDoctor Inc has filed 10 H-1B LCA petitions covering 10 worker positions from FY2023 to FY2025.
AiNaDoctor Inc has a 80% certification rate, with 8 out of 10 petitions certified.
The average H-1B salary at AiNaDoctor Inc is $133,804. Salaries range from $91,021 to $149,000.
The top H-1B job titles at AiNaDoctor Inc include Software Engineer, Mobile AI, Software Engineer, Machine Learning, Software Engineer, Machine Learning Engineer. The most common position is Software Engineer, Mobile AI with 3 petitions at an average salary of $140,000.
AiNaDoctor Inc is headquartered in San Jose, CA. Their H-1B workers are distributed across 2 states, with the most positions in CA, MI.
No, AiNaDoctor Inc is not classified as H-1B dependent.
AiNaDoctor Inc filed 3 petitions in FY2023 and 2 in FY2025. Average salary increased from $123,674 to $149,000.
H-1B visa petition data is sourced from the U.S. Department of Labor (DOL) Labor Condition Application (LCA) disclosure files. Data covers fiscal years 2023 through 2026. Salary figures reflect amounts listed on LCA petitions, not actual compensation paid. Certification of an LCA does not guarantee visa approval.
Source: DOL Foreign Labor Performance Data
Source: U.S. Department of Labor, Office of Foreign Labor Certification, LCA Disclosure Data (FY2023–FY2026)
Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the U.S. Department of Labor LCA disclosure files. Consult a qualified professional before making decisions based on this data.
Read our methodology , how this data is sourced, computed, and verified.
Every figure on PlainVisa is rendered directly from federal source data, no number is typed in by an editor. This page draws directly on federal source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.