Key salary research sites for U.S. AI jobs include Glassdoor for personalized estimates by job title, company, location, and experience; Levels.fyi for compensation searches by company, title, level, and location; Salary.com for estimates by title, location, and industry; Blind for role-based comparisons via its app; and BLS for official U.S. weekly earnings baselines. These tools support job seekers evaluating AI engineer offers from platforms like LinkedIn or Indeed, and help employers benchmark hires. Cross-verify across sites, as data sources differ, using official features for title and location searches.
Why Use Salary Research Sites for AI Job Decisions
AI roles like machine learning engineers see volatile compensation amid high demand. U.S. job seekers spot offers on job boards such as Indeed or LinkedIn and need current benchmarks to assess them. Employers rely on these sites to set competitive pay for postings on hiring platforms.
Tie salary research to job search workflows: compare a posted range against site estimates before applying or negotiating. Start with government data like BLS weekly earnings as a baseline, then add platform tools. Official features like Glassdoor's personalized calculator or Levels.fyi's level mapping outperform single-source data, especially for AI titles that vary by company and location.
Glassdoor for Personalized AI Salary Estimates
Glassdoor supports job seekers with custom ranges during offer evaluation. Its personalized salary calculator delivers estimates based on job title, company, location, and experience. Search by job title and location on desktop or mobile to view pay insights, powered by predictive data science for likely ranges.
For broad AI roles like "AI Engineer" at mid-sized firms, enter "Machine Learning Engineer, San Francisco, 5 years experience" via the Know Your Worth page. This fits offers across companies but works less for precise leveling at big tech. See the help center on searches for details.
Levels.fyi for AI Tech Compensation Breakdowns
Levels.fyi provides detailed views for tech and AI compensation. Search by company, job title, career level, and location across data points. Use the custom level mapping tool to compare levels and pay across companies.
Target "AI Engineer, Google, L4, Bay Area" for breakdowns suited to big tech AI roles. It excels for FAANG-like firms but less for non-tech. Access via levels.fyi or the level creation tool.
Salary.com and Other Tools for Quick AI Benchmarks
Salary.com offers estimates by job title, location, industry, and benefits factors. Search "AI Engineer, New York, tech industry" for benchmarks.
Blind's app features a salary comparison tool by role, location, and experience for mobile checks during job searches. BLS provides median weekly earnings as a free U.S. government baseline. Salary.com suits broad industries; Blind aids quick comparisons. Check Salary.com's research page and Blind's features help.
Comparison Table: Salary Research Sites for AI Roles
Select sites based on your AI role needs like title, location, or company. Use 2-3 for cross-verification.
| Site | Key Feature | Best For (AI Use Case) | Search Inputs | Platforms |
|---|---|---|---|---|
| Glassdoor | Personalized calculator/estimates | Broad AI job offers | Title/company/location/experience | App/web |
| Levels.fyi | Compensation search by level/company | AI engineers at big tech | Company/title/level/location | Web |
| Salary.com | Estimates by title/industry/location | Industry benchmarks | Title/location/industry/benefits | Web |
| Blind | Salary comparison tool | Quick role/location checks | Role/location/experience | App |
| BLS | Weekly earnings data | U.S. wage baselines | Occupation (aggregate) | Web |
Step-by-Step Workflow to Research AI Salaries
Benchmark AI salaries against job platform offers with this workflow.
Prerequisites: Note your details - job title (e.g., "Machine Learning Engineer"), location (e.g., "Seattle"), experience (e.g., 3 years), company if known.
- Establish baseline: Review BLS weekly earnings for U.S. medians in tech occupations.
- Search core sites: Query Glassdoor and Levels.fyi by title, location, company. Note ranges for "Machine Learning Engineer, remote, mid-level."
- Get personalized estimates: Use Glassdoor's calculator or Salary.com tool with experience and factors.
- Cross-check mobile: Check Blind app for role and experience matches.
- Map if tech: Align levels via Levels.fyi tool for cross-company views.
Salary Verification Checklist:
- [ ] Range aligns with LinkedIn/Indeed postings?
- [ ] Covers your experience level?
- [ ] Two+ sites agree within 20%?
- [ ] Adjusts for location (e.g., coastal vs. Midwest)?
- [ ] Accounts for AI subroles (e.g., NLP vs. computer vision)?
- [ ] Matches predictive ranges from Glassdoor or Salary.com?
Repeat per offer for strong benchmarks. Example: For a Seattle ML engineer offer at $160K, BLS shows tech medians; Glassdoor personalizes to $155K-$185K; Levels.fyi confirms L4 equivalents.
Limits and Common Mistakes in AI Salary Research
Sites may miss niche AI subroles like prompt engineers; data lags market shifts. User-submitted info on Glassdoor or Blind varies in verification.
Avoid mistakes: single-site reliance, ignoring location adjustments (e.g., Bay Area premiums), or skipping BLS baselines. Stack 2-3 tools and check active postings. Official features support title/location searches without dedicated AI filters.
Next Steps: Apply Research to Your Job Search
Filter LinkedIn/Indeed postings by verified ranges before applying. Set Glassdoor alerts for "AI Engineer" in your area. Tailor resumes to benchmarked roles.
For negotiations, cite data: "Glassdoor shows $150K-$180K for this title/location." Employers: Use Levels.fyi for tech postings. Review job platforms for ranges.
FAQ
How accurate are these AI salary tools? Varies by recency and sources; cross-verify BLS and platforms.
Best site for entry-level AI salaries? Glassdoor or Salary.com for title/location estimates.
Are these sites free to use? Core search/estimate features show as free on official pages.