Cognition AI Inc. H-1B wage filings

San Francisco, CA. Filings decided July 2025 to June 2026.

Cognition AI Inc. filed 9 wage applications for H-1B and similar visas from July 2025 to June 2026. The median wage it offered was $200,000, 46.8% above the government's prevailing wage for the same jobs.

Filings
9
Positions covered
8
Certified
88.9%
Job titles
7
Worksite cities
2
Filings since FY2024
11

Offered wage since 2024

Cognition AI Inc. made 11 filings across 2 fiscal years since 2024, too few in most years to track the wage year by year.

Fiscal years run October to September. Fiscal 2026 is still running: these figures cover October 2025 to June 2026.

Cognition AI Inc. by fiscal year

Fiscal yearFilingsMedian offeredvs year beforeMedian prevailingvs prevailing
2026 (Oct to Jun)9$200,000n/a$143,125+46.8%
20250n/an/an/an/a
20242n/an/an/an/a

Offered wage by job title

Middle half of offered wagesMedian offered wageMedian prevailing wage

Job titleFilingsMedian offeredOffered range and prevailing wagevs prevailing
Deployed Engineer2$200,000+49.5%
Technical Management Analyst2$180,000+4.4%
Business Operations1$290,000+184.8%
Data Engineer1$210,000+18.2%
Engagement Manager1$220,000+46.1%
GTM Operations1$200,000+82.7%
Private Equity Strategy1$200,000+0.3%

Where the jobs are

WorksiteFilingsMedian offered
New York, NY5$200,000
San Francisco, CA4$200,000

By visa type: 6 H-1B, 2 H-1B1 (Singapore), 1 E-3 (Australia). By outcome: 8 certified, 1 withdrawn before a decision.

Filings by quarter

Jan to Mar 20262
Apr to Jun 20267

Across all employers, filings bunch up in the first half of each year around the annual H-1B lottery, so compare a quarter with the same quarter a year earlier, not with the one before it.

Seniority of the jobs filed

Level I, entry13%
Level II, qualified38%
Level III, experienced25%
Level IV, fully competent25%

The government assigns each job one of four wage levels. A higher level means a higher legal minimum.

What these numbers are

Source: U.S. Department of Labor, OFLC disclosure data. How we clean and count it.

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