Key facts at a glance
US benchmark (mid-level)
$150,000
$113,791 net (75.9% retained)
Highest net take-home of 11
$127,434
UAE, tax-free, USD-equivalent
Lowest net take-home of 11
$51,338
New Zealand, USD-equivalent
PayMetric's own mid-level AI/ML Engineer benchmark for the United States is $150,000 gross, which nets $113,791 after federal tax (75.9% retained). Run that same role against PayMetric's benchmark for the other ten of our eleven live markets and the US actually ranks #2 of 11 by USD-equivalent net pay, not first. The UAE's tax-free package nets $127,434 in USD-equivalent terms, ahead of the US, while a New Zealand hire at the same seniority nets only $51,338, less than half.
If you're an HR or engineering leader deciding where to open a remote requisition, the number that actually matters is not "what would this person earn if they lived in the US," it's what the role costs and pays locally in each market you're considering, because that is what determines both your budget and your competitiveness as an employer. Here is the full 11-market breakdown, computed from PayMetric's own AI Talent Location Planner data, not estimated.
Model your own remote-hire cost across all 11 markets.
Open the AI Talent Location PlannerThe US-to-global remote pay multiplier (calculated)
Expressing every market as a multiplier of the US net-pay figure shows how far a fixed compensation budget stretches (or doesn't) once you cross a border. A multiplier above 1.00x means that market's mid-level AI/ML Engineer benchmark nets more, in USD-equivalent terms, than the US benchmark does. Only one market clears that bar: the UAE, at 1.12x, purely because there is no income tax to erode the gross figure. Every other market sits below the US line, from Hong Kong's 0.87x down to New Zealand's 0.45x.
That spread is not simply "the US pays more." It's a mix of two separate variables that pull in different directions: what each market's local labor market actually pays for the role (gross), and how much of that gross the local tax system takes before it becomes usable income (the retained percentage). Saudi Arabia and Qatar retain 100% of gross because they have no personal income tax, the same mechanism that lifts the UAE, but their gross benchmarks are lower to begin with, which is why they still land in the middle of the pack rather than at the top. Singapore retains a very high 93.2% of gross thanks to a genuinely light tax system, but its gross benchmark is itself lower than the UK's or Australia's.
The practical implication for a hiring plan: don't assume "US-equivalent pay" is a single line you can draw across markets. A US-anchored global pay policy will systematically overpay in some markets relative to local rates and underpay in others relative to what a genuinely competitive local offer requires, which is exactly the tension the next section works through with a full worked model.
11-market cost comparison
Mid-level AI/ML Engineer, PayMetric's own benchmark for each market, ranked by USD-equivalent net pay (FX snapshot 11 Aug 2026):
| Market | Gross (local) | Net (local) | Net (USD-equiv.) | Retained |
|---|---|---|---|---|
| United Arab Emirates | AED 468,000 | AED 468,000 | $127,434 | 100.0% |
| United States (anchor) | $150,000 | $113,791 | $113,791 | 75.9% |
| Hong Kong | HK$900,000 | HK$774,710 | $98,776 | 86.1% |
| Singapore | S$123,000 | S$114,600 | $89,503 | 93.2% |
| Saudi Arabia | SAR 300,000 | SAR 300,000 | $80,000 | 100.0% |
| United Kingdom | £78,000 | £55,797 | $75,326 | 71.5% |
| Australia | A$140,000 | A$104,330 | $73,761 | 74.5% |
| Qatar | QAR 264,000 | QAR 264,000 | $72,527 | 100.0% |
| Ireland | €90,000 | €59,789 | $69,117 | 66.4% |
| Canada | C$130,000 | C$91,237 | $65,508 | 70.2% |
| New Zealand | NZ$125,000 | NZ$87,310 | $51,338 | 69.8% |
PayMetric Labs' own modeled mid-level AI/ML Engineer benchmarks, kept consistent with each market's dedicated ai-engineer-salary article (US and Qatar are WebSearch estimates pending their own dedicated article). USD conversion uses an indicative FX snapshot dated 11 Aug 2026, for ranking purposes only.
Employer tax burden and payroll overhead by country
The retained-percentage column above is the employee-side story: how much of gross pay survives personal income tax and social contributions. It is a useful proxy for how far a given gross budget will feel to the person receiving it, but it is not the employer's own cost. Employer payroll tax, mandatory social security contributions, and statutory benefits (paid leave, employer pension contributions, health coverage mandates) sit on top of the gross salary line in every market shown here, and those on-costs vary enormously by country, from single-digit percentages in some tax-free Gulf markets to 20 to 30% or more of gross salary in several European and OECD markets.
Because those employer on-costs are jurisdiction-specific and change with local law, they are not modeled in the comparison table above, which covers gross and net employee pay only. Before finalizing a hiring-location decision, add your target market's actual employer social contribution rate to the gross figure shown here to get a true fully loaded cost. The zero-income-tax markets in this table (UAE, Saudi Arabia, Qatar) still carry employer-side costs of their own, most notably mandatory end-of-service gratuity accrual in the UAE, so "no income tax" does not mean "no employer overhead."
How to avoid overpaying or underoffering international remote talent
- Benchmark to the local market, not to a converted US-equivalent figure. A UK or Canadian AI/ML Engineer's fair-market offer is what the UK or Canadian market pays for that role, shown in the table above, not a reverse-engineered "what would keep them whole against a US salary."
- Separate the gross-cost decision from the net-pay-competitiveness decision. Your budget is driven by gross cost plus employer on-costs; your competitiveness as an employer is driven by net pay relative to that market's other employers, and the two numbers move independently as tax systems differ.
- Price and pay in local currency wherever legally practical. The USD figures in this article exist for ranking and planning, but a real offer denominated in a volatile cross-currency conversion creates ongoing pay uncertainty for the employee that a local-currency offer avoids.
- Revisit the comparison at least annually. Tax rules, FX rates, and market benchmarks all move, and a gap that looks small today (or large) can shift meaningfully within a year, particularly in markets with fast wage growth or scheduled tax changes.
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Frequently asked questions
Where does the $150,000 US benchmark figure come from?
It's PayMetric Labs' own modeled mid-level AI/ML Engineer benchmark for the United States, a base-pay-only figure that excludes equity and bonus, sourced via WebSearch since there is not yet a dedicated ai-engineer-salary-us-2026 article on this site to draw from (nine of the eleven markets in this comparison do have their own dedicated article, and this benchmark is kept consistent with those). It runs through the same US take-home engine used across the rest of this site, with no state tax modeled, so treat it as a federal-only national baseline rather than a specific city figure.
Is 'cost to hire' the same as gross salary in this comparison?
In this article, employer cost is each market's PayMetric-modeled mid-level AI/ML Engineer gross annual salary, converted to USD at the FX rate in lib/ai-talent-location-planner.ts (dated 11 Aug 2026). It does not include employer payroll tax, social security contributions, benefits, or other on-costs, which vary substantially by country and would need to be added separately for a full employer-cost model. Treat the gross-cost figures here as the base salary line only, not a fully loaded cost-to-company number.
Why does Dubai show a higher net take-home than the US despite a lower gross benchmark in USD terms?
Because the UAE has zero personal income tax, so the entire AED 468,000 gross benchmark converts straight to net pay, worth $127,434 at the tool's FX rate. The US benchmark is higher in gross terms ($150,000) but federal income tax and payroll tax bring the net down to $113,791, which is lower than the UAE's fully tax-free equivalent. This is the same mechanism, in reverse direction, that the site's UAE purchasing-power comparison covers for individuals: a tax-free jurisdiction's headline number understates its real value until you run it through a comparable net calculation.
Does this account for currency risk or FX rate changes?
No. The USD-equivalent figures use a single indicative FX snapshot (11 Aug 2026) purely to let you rank markets on one common axis. Local-currency pay is the primary, real number an employee actually receives; the USD conversion is secondary and will drift as exchange rates move. If you are structuring an actual offer, price and pay in the employee's local currency and treat any USD figure as a planning reference only, not a contractual number.
Should I actually pay a UK or Canadian hire the exact converted-net-equivalent of the US benchmark?
Not necessarily, and doing so is one of the more common mistakes in cross-border remote hiring. What this data tells you is the local market rate for that role in that country, not a formula for topping someone up to a US-equivalent net figure. Most distributed employers benchmark against local market pay (what this article shows) rather than reverse-engineering an equivalent from a US number, because paying materially above local market rate for a role with no local scarcity premium creates internal equity problems the moment you hire a second person in that market.
How is this different from the AI Talent Location Planner's other articles on this topic?
The site's existing 'where AI engineers earn most abroad' series is written for the candidate: a UK, Australian, Singaporean, or other engineer deciding whether relocating would raise their net pay. This article inverts that lens for the employer or HR buyer deciding where to open a remote requisition and what it will cost, using the identical underlying benchmark data so the two perspectives never contradict each other.
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