knowledge-worker-salaries

Salary benchmarking aggregates global compensation data from government, industry, and consulting sources using multi-source validation. This Skill ingests BLS, OECD, ILO, Eurostat, Dice, Glassdoor, and Robert Half data, then reconciles conflicts and outputs structured salary comparisons by region, sector, and role with confidence levels.

AI/ML premium analysis identifies compensation differentials for specialized skills across markets. This Skill validates sector-specific salary data from multiple authoritative sources and applies Bayesian reconciliation to quantify how AI/ML expertise increases total market value versus baseline knowledge-worker compensation.

Yes. This Skill provides comprehensive data including total market value calculations, detailed breakdowns by sector (tech, finance, healthcare), and global regional comparisons. Structured outputs include provenance, methodology, and confidence levels for reproducible analysis.

Multi-source validation and Bayesian reconciliation resolve conflicts across government agencies, industry surveys, and consulting reports. The Skill processes parallel data collection, validates consistency, and outputs structured artifacts documenting each source's contribution and confidence intervals.

This Skill ingests primary and secondary sources including BLS, OECD, ILO, Eurostat, Dice, Glassdoor, and Robert Half data. These sources support sector-specific benchmarking, geographic comparisons, and labor market analysis for freelance economics and evidence-based policy discussions.

No. This Skill eliminates manual research by automating aggregation across 10 parallel AI agents collecting from government, industry, and consulting sources. It performs validation and reconciliation automatically, delivering immediate, structured compensation insights without hours of research.