Hash Map Labs — 2 certified H-1B filings (FY2017–FY2018)
- 1
- Filings · FY2018
- $75k
- Median base · FY2018
- Director of Strategy
- Top role · 1 all-time
- CA
- Top state · 1 all-time
Hash Map Labs filed 1 certified H-1B LCAs in FY2018, with a median base salary of $75k and the middle 50% of offers between $75k and $75k. Across all years it has 2 certified filings since FY2017, most often for Director of Strategy in California.
How much does Hash Map Labs 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. $75k median in FY2018. Base pay only — hover a year for its figures.
How has Hash Map Labs's H-1B hiring changed by year?
1 certified filings in FY2017 → 1 in FY2018. The change column is each year against the one before.
| Fiscal year | Filings | vs prior FY | Median base |
|---|---|---|---|
| FY2018 | 1 | 0% | $75k |
| FY2017 | 1 | — | $160k |
Which wage levels does Hash Map Labs file?
DOL prevailing-wage levels I–IV approximate experience tiers (I = entry, IV = fully competent). 0% of Hash Map Labs'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 II100.0%1
What jobs does Hash Map Labs 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 |
|---|---|---|
| Director of Strategy | 1 | $160k |
| Instructor | 1 | $75k |
Where does Hash Map Labs 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 |
|---|---|---|
| CA | 1 | $160k |
| NY | 1 | $75k |
What has Hash Map Labs filed recently?
Every certified LCA on record for Hash Map Labs: job title, worksite, prevailing-wage level and the offered base salary.
| FY | Job title | Base salary |
|---|---|---|
| 2018 | Instructor | $75,000 |
| 2017 | Director of Strategy | $160,000 |
Common questions about Hash Map Labs's H-1B filings
- How much does Hash Map Labs pay H-1B workers?
- Hash Map Labs's median certified H-1B base salary is $75k (FY2018), from 1 filings. See the full salary distribution and percentiles above.
- How many H-1B workers does Hash Map Labs sponsor?
- Hash Map Labs has 2 certified H-1B Labor Condition Applications on record (FY2017–FY2018).
- What jobs does Hash Map Labs sponsor for H-1B?
- Hash Map Labs's most-sponsored H-1B roles include Director of Strategy, Instructor.
- Where does Hash Map Labs hire H-1B workers?
- Hash Map Labs's top H-1B worksite states are CA, 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 (FY2017–FY2018). An LCA is not an approved visa; pay figures are base salary and exclude bonus and equity. Methodology →