Remote Employee Multi-State W-2 Allocator
555,000.00 in multi-state telecommuting wages properly allocated across state tax boundaries across across 3 items.
Full remote employee residing in Texas erroneously withheld California state tax on $160,000.00. California sources wages only to physical days in CA.
Method1Audited physical work location logs against New York and California convenience of the employer statutes.
2Engineered multi-state W-2 wage apportionment and state tax credit reconciliation schedule.
| Reference | Description | Allocated_Wages |
|---|---|---|
| EMP-502 | California Erroneous Withholding (Full Remote TX) | 160,000.00 |
| EMP-501 | New York Convenience of Employer Mandate (NJ) | 185,000.00 |
| EMP-503 | New York Convenience of Employer Mandate (CT) | 210,000.00 |
Employee VPN login telemetry and resident/work state address records, plus state convenience-of-the-employer tax statutes
Corrected multi-state Form W-2 wage allocation schedule and state tax withholding true-up file (Resolution Dossier, Findings Schedule)
Open Remote Employee Multi-State W-2 Allocator on sample data now with no sign-up, then run your own files free for 14 days. $3,000 a month after that, cancel any time. 30% goes to the referring partner.
Read in memory for the session, never stored, never used to train a model.
Outputs are computed from your inputs and the tool's rules. Check them before you rely on them.
14 days on your own files, then $3,000 a month.
Open Remote Employee Multi-State W-2 Allocator on sample data now with no sign-up, then run your own files free for 14 days. $3,000 a month after that, cancel any time.
On a sample file: 555,000.00 in multi-state telecommuting wages properly allocated across state tax boundaries across across 3 items.
Why not just use ChatGPT?
Rules that stay current: the rate cards, tariffs, code sets and regulations it checks against are kept up to date for you; a one-off prompt starts from nothing each time. Evidence that stands up: every finding cites the line, the file and the rule, so it holds up with a vendor, a payer or an auditor. The same answer every time: the checks are written rules, not a fresh guess, so this month's result can be compared with last month's. Nobody has to own it: no one inside has to build, test and maintain a home-made tool, and files are not pasted into a public chatbot.
Start on your own files
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.