Remote vs Hybrid vs Onsite AI Engineer Salaries

Live data from 9846 active AI engineering roles. Updated October 13, 2026.

Hybrid
$284381
avg salary
1712 roles (17%) +28%
Fully Remote
$225127
avg salary
2661 roles (27%) +1%
Onsite
$221449
avg salary
5473 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
$167532
117 roles
$192973
103 roles
$169676
425 roles
mid
$162333
731 roles
$153255
315 roles
$152446
1478 roles
senior
$207371
961 roles
$239711
560 roles
$215154
1799 roles
lead
$249852
681 roles
$317976
636 roles
$255893
1399 roles
principal
$339035
171 roles
$461937
98 roles
$314578
372 roles

Top-paying skills, by workplace

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

Fully Remote

software-engineering (35) $361294 frontend (26) $287963 jax (11) $282500 pre-training (37) $262758 generative-ai (526) $259444 cloud (423) $250182 gpu (149) $249637 tensorflow (99) $248482

Hybrid

pre-training (35) $483863 research (180) $410639 search (129) $390149 alignment (367) $388859 inference (28) $370264 reinforcement-learning (135) $359022 infrastructure (132) $343653 distributed-systems (333) $335232

Onsite

alignment (81) $277810 pre-training (122) $276307 reinforcement-learning (366) $258691 search (440) $257512 pytorch (583) $257454 python (16) $257036 code-generation (185) $255745 diffusion-models (48) $254885

Methodology

FAQ

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

Across 9846 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 9846 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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