Side by side.

3,445 roles. 81 U.S. cities.

See how it compares to everything else.

See the table.

Total Compensation Trend

AI research and engineering roles, San Francisco, 2023-2026

$300k$350k$400k$450k$500k2023202420252026
Total Compensation Trend: AI research and engineering roles, San Francisco, 2023-2026
Role2023202420252026
AI Research Scientist$395k$440k$498k$540k
Senior AI Engineer$335k$395k$460k$512k
Computer Vision Engineer$290k$342k$395k$438k
Roles
AI Research$540k
AI Engineer$512k
CV Engineer$438k

The proof.

Every feature. Every competitor. No asterisks.

Feature comparison of Orbyt Intelligence against competing salary data platforms
FeatureOrbytLevels.fyiGlassdoorPayscalePaveBlindBLS OES
Data Coverage
Total roles tracked
3,445
~500
~1,000
~800
Enterprise only
~800
Specialized roles tracked
598
~100
~50
~30
~20
U.S. cities covered
81
~20
~50
~40
~400
Company leveling frameworks
54 companies
Partial
Enterprise only
Methodology
Multi-source (BLS OES, H-1B LCA)
BLS only
Self-reported / crowdsourced
Primary
Primary
Primary
Primary
Primary
BLS SOC code citations
Cost-of-living adjustment (BEA RPP)
Partial
Community data flywheel
API Access
Public REST API
20 endpoints
Entry tier price published
Build $99/mo
Free (public domain)
MCP native (AI agents)
OpenAPI spec
llms.txt
Total Comp Breakdown
Base salary
Unverified
Equity per year
Unverified
Bonus percentage
Partial
Signing bonus
Partial
Company size salary bands
Remote salary differentials
LLM / Agent Support
MCP manifest
llms.txt discovery
Citation-ready responses
Partial
Structured JSON output
Pricing & Transparency
Published pricing
N/A
Ad-supported
Contact sales
Contact sales
N/A
Free
Public consumer browsing
Website only
Website only
Limited
Website only
Updates & History
Update frequency
Annual
Ongoing
Ongoing
Ongoing
Ongoing
Ongoing
Annual (18-mo lag)
Historical tracking
Q2 2026+
Enterprise only
Annual
Forward projections (2030)

Based on publicly available feature lists and documentation. Updated regularly.

Why it matters.

Not all salary data is created equal.

Multi-source beats self-reported.

Self-reported data skews high. People share outlier offers, not median outcomes. Orbyt Intelligence calibrates against BLS OES surveys and H-1B LCA filings from the DOL. The methodology is published, including what is still modeled, and every figure carries an id you can resolve.

Structured comp beats a single number.

A total compensation figure without context is noise. Orbyt breaks every role into base salary, equity per year, bonus percentage, and signing bonus. You see the full picture: how compensation actually gets distributed, not just one headline number.

API-first beats scraping.

Every other salary platform treats programmatic access as an afterthought or blocks it entirely. Orbyt Intelligence ships 20 REST endpoints, an MCP manifest for AI agents, an OpenAPI spec, and llms.txt. Build on it. No scraping. No hacks. No terms-of-service risk.

Company leveling beats title matching.

A Senior Engineer at a 50-person startup and a Google L5 are not the same role. Orbyt tracks leveling frameworks for 54 companies so you can compare compensation at equivalent levels, not just equivalent titles.

Head to head.

The long version, one competitor at a time. Strengths, gaps, full feature tables, FAQ.

15 million data points. 20 endpoints. Free to start. Pro from $99/mo.

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