Remote vs Hybrid vs Onsite AI Engineer Salaries

Live data from 8931 active AI engineering roles. Updated May 30, 2026.

Hybrid
$261948
avg salary
1578 roles (17%) +19%
Fully Remote
$222696
avg salary
2417 roles (27%) +1%
Onsite
$219360
avg salary
4936 roles (55%) 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
$152599
144 roles
$206164
65 roles
$172025
388 roles
mid
$162753
702 roles
$155032
301 roles
$155118
1367 roles
senior
$205383
773 roles
$232109
590 roles
$214581
1671 roles
lead
$249242
626 roles
$293249
513 roles
$251963
1231 roles
principal
$337072
172 roles
$401007
109 roles
$321587
279 roles

Top-paying skills, by workplace

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

Fully Remote

software-engineering (17) $437833 pre-training (33) $300000 frontend (21) $294133 jax (10) $275000 mobile (14) $272250 inference (14) $250000 tensorflow (118) $248622 generative-ai (582) $243692

Hybrid

pre-training (40) $409591 alignment (240) $375771 research (166) $373747 search (135) $357174 inference (28) $327000 reinforcement-learning (134) $306733 rust (21) $304133 computer-graphics (20) $299611

Onsite

pre-training (83) $309540 legal (11) $269463 reinforcement-learning (302) $257053 python (17) $257036 pytorch (560) $255363 infrastructure (344) $253617 code-generation (158) $250430 distributed-systems (790) $249414

Methodology

FAQ

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

Across 8931 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 8931 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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