Remote vs Hybrid vs Onsite AI Engineer Salaries

Live data from 5292 active AI engineering roles. Updated April 15, 2026.

Hybrid
$272247
avg salary
964 roles (18%) +23%
Onsite
$224588
avg salary
2877 roles (54%) +1%
Fully Remote
$220323
avg salary
1451 roles (27%) 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
$185064
88 roles
$204565
49 roles
$195296
179 roles
mid
$160226
418 roles
$151987
168 roles
$166414
747 roles
senior
$210042
457 roles
$244462
380 roles
$221066
968 roles
lead
$255505
412 roles
$296972
297 roles
$255157
850 roles
principal
$269524
76 roles
$429311
70 roles
$293719
133 roles

Top-paying skills, by workplace

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

Fully Remote

fintech (26) $292500 mobile (14) $265500 pre-training (36) $260050 data-engineering (16) $250937 alignment (26) $247220 search (174) $244194 machine-learning (123) $243171 code-generation (72) $242467

Hybrid

pre-training (37) $417133 research (135) $414082 search (98) $397125 alignment (244) $356321 reinforcement-learning (101) $331295 distributed-systems (182) $326479 infrastructure (69) $324514 inference (21) $314208

Onsite

legal (10) $323000 pre-training (71) $292235 software-engineering (36) $288250 alignment (55) $282662 jax (13) $275854 python (16) $264692 code-generation (88) $264617 inference (38) $253706

Methodology

FAQ

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

Across 5292 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 5292 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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