Published 2026-10-24 Based on 11,520 job postings

Remote vs Onsite: AI Job Market Analysis 2026

Data analysis of remote vs onsite AI positions including salary differences, role distribution, and company preferences.

Key Takeaways

  • Remote AI jobs make up 6% of all postings (708 of 11,520).
  • Remote roles post median salaries 7% less than onsite equivalents.
  • Roles with the highest remote availability tend to be senior engineering and ML positions.
  • Companies with large remote AI teams often post higher salary ranges to compete nationally.

The Numbers

AI market intelligence showing trends, funding, and hiring velocity

We analyzed 11,520 AI job postings to understand the remote vs onsite split and how it affects compensation.

6.1%
Remote Positions
708 jobs
93.2%
Onsite Positions
10,737 jobs
$199K
Remote Median Salary
Max posted salary
$215K
Onsite Median Salary
Max posted salary

Salary Comparison by Role

Median posted salary (max) for remote vs onsite positions, filtered to roles with at least 3 postings in each category.

AI Architect
Remote
$231K
Onsite
$216K
Research Engineer
Remote
$228K
Onsite
$232K
MLOps Engineer
Remote
$222K
Onsite
$202K
AI Product Manager
Remote
$210K
Onsite
$224K
AI/ML Engineer
Remote
$200K
Onsite
$215K
AI Software Engineer
Remote
$196K
Onsite
$233K
Research Scientist
Remote
$189K
Onsite
$236K
Data Scientist
Remote
$177K
Onsite
$190K

Which Roles Go Remote?

Percentage of postings listed as remote by job category.

Data Engineer
10% (9/90)
AI Architect
9% (15/160)
Data Scientist
8% (34/437)
AI/ML Engineer
6% (548/8769)
AI Software Engineer
6% (36/586)
AI Product Manager
6% (29/511)
MLOps Engineer
5% (8/164)
AI Agent Developer
4% (6/146)
Research Engineer
3% (8/266)
Research Scientist
3% (6/224)
AI Safety
2% (1/58)
Prompt Engineer
0% (0/41)

Company Patterns

Which companies post the most remote and onsite AI roles?

Top Remote Employers

CompanyRemote JobsMedian Salary
Optum31$214K
BV Teck30$150K
BairesDev26N/A
EWOR15N/A
Lockheed Martin13$227K
EPAM Systems12$207K
Capital One12N/A
FullStack11N/A
Hut 88N/A
Gartner6N/A

Top Onsite Employers

CompanyOnsite JobsMedian Salary
Google244$252K
JPMorganChase218$215K
Deloitte126$218K
Capital One108N/A
Amazon Web Services (AWS)99N/A
EY85$261K
Microsoft83$261K
Amazon.com79$223K
NVIDIA77$287K
Amazon Web Services72$220K

What This Means for Your Career

The data in this report points to actionable steps for AI professionals at every level. If you are entering the field, focus on the skills and role types showing the strongest demand growth. For mid-career engineers, the salary premiums and skill clusters above highlight where specialization pays off most. Senior practitioners should watch the company-level trends to identify where AI investment is accelerating and position themselves accordingly.

Methodology: This analysis is based on 11,520 AI job postings collected by AI Pulse in October 2026. Data is sourced from Indeed and company career pages. Only postings with disclosed salary information are included in compensation analyses.

Frequently Asked Questions

In our dataset of 11,520 postings, remote AI roles post median salaries of $199K compared to $215K for onsite roles. The 7% difference reflects both the national talent pool remote employers compete in and the concentration of onsite roles in high-cost metros.
Approximately 6% of AI job postings in our dataset are listed as remote. This share varies significantly by role type and company stage.
Prompt engineering, MLOps, and senior ML engineering roles tend to have the highest remote availability. Research positions and roles requiring specialized hardware access are more likely to be onsite.
Some companies use geographic pay bands that adjust compensation based on the candidate's location, while others pay a flat national rate. Our data captures posted ranges, which may be adjusted at offer stage.
Data Source: Analysis based on 11,520 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of October 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.

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Illustrated portrait of Rome Thorndike

Rome Thorndike

Rome Thorndike is the CEO & Founder of Provyx, which provides GTM intelligence and data validation for healthcare companies, including EngagedMD and BTL Industries. He writes The AI News Digest for over 3,000 subscribers and previously led revenue at AI data company Firmograph.

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