Remote vs Hybrid vs Onsite AI Engineer Salaries

Live data from 9287 active AI engineering roles. Updated July 15, 2026.

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Hybrid
$267107
avg salary
1594 roles (17%) +21%
Fully Remote
$225857
avg salary
2650 roles (28%) +2%
Onsite
$219922
avg salary
5043 roles (54%) baseline

Premium % is shown vs the lowest-paying workplace type. Salary figures average (salary_min + salary_max) / 2 across all listings disclosing a band.

What the data says

The conventional take — remote pays a premium because it pulls from a global talent pool — doesn’t hold for AI engineering in 2026. The top-of-market AI labs that pay the highest cash compensation are concentrated in SF, NYC, and Seattle, and they overwhelmingly post hybrid or onsite roles.

Translation: if you can co-locate part of the week with a frontier lab, the cash-comp ceiling is materially higher than fully-remote alternatives. Fully-remote AI roles are still abundant (see the share table above) and pay competitively, but they skew toward applied/infra work over research.

The breakdowns below let you see exactly where the premium concentrates — by experience level and by skill. All numbers re-aggregate from live listings every hour, so this page stays current as the market shifts.

By experience level

Average salary and role count, broken out by level and workplace type. means too few listings to compute a reliable average.

Level Remote Hybrid Onsite
junior
$148938
140 roles
$226704
64 roles
$167881
421 roles
mid
$160500
689 roles
$154766
287 roles
$157052
1311 roles
senior
$211225
964 roles
$231906
550 roles
$212940
1700 roles
lead
$252339
666 roles
$298597
576 roles
$252898
1294 roles
principal
$332509
191 roles
$386724
117 roles
$316811
317 roles

Top-paying skills, by workplace

The 8 highest-paying tags within each workplace type (minimum 10 roles per tag).

Fully Remote

software-engineering (16) $437833 rust (11) $275786 pre-training (32) $275333 jax (10) $275000 frontend (26) $271056 reinforcement-learning (142) $255593 generative-ai (531) $253455 cloud (400) $248715

Hybrid

pre-training (34) $452219 alignment (273) $387562 research (181) $378095 search (142) $365616 rust (33) $329679 inference (28) $327183 reinforcement-learning (142) $321179 data-engineering (11) $305071

Onsite

pre-training (93) $296644 alignment (79) $270056 reinforcement-learning (275) $264912 code-generation (162) $262829 speech (77) $259550 pytorch (579) $257941 python (18) $257036 search (376) $253203

Methodology

FAQ

Do remote, hybrid, or onsite AI jobs pay more?

Across 9287 active AI engineering roles tracked here, hybrid roles currently command the highest average salary — driven by frontier-lab postings concentrated in SF, NYC, and Seattle. The headline cards at the top of this page show the live numbers.

What percentage of AI engineering jobs are remote in 2026?

The workplace-mix percentages in the headline cards (calculated live from the index) show remote, hybrid, and onsite share among the 9287 active listings. Browse the slices directly: remote, hybrid, onsite.

Which AI skills pay the most for remote work?

The “top-paying skills, by workplace” section above ranks tags by average salary within each workplace type. Click any tag to see open listings.

Why is hybrid paying more than fully remote?

Frontier AI labs — OpenAI, Anthropic, xAI, Mistral, DeepMind — concentrate their highest-comp roles around SF, NYC, London, and Paris and prefer hybrid arrangements. The cash-comp ceiling for those roles drags the hybrid average up. Fully-remote roles skew toward applied/infra work and pay competitively but not at the same ceiling.

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