# Profissional AI

> Infraestrutura cívica brasileira sobre profissões, carreiras e dados ocupacionais oficiais.

URL: https://profissional.ai/
Canonical host: profissional.ai
Language: pt-BR
Scope: 2.614 ocupações CBO brasileiras, setores, dados públicos e orientação vocacional.

Primary resources:
- Sitemap index: https://profissional.ai/sitemap-index.xml
- Occupation sitemap: https://profissional.ai/sitemap-profissoes.xml
- State sitemap: https://profissional.ai/sitemap-estados.xml
- Sector sitemap: https://profissional.ai/sitemap-setores.xml
- Source catalog: https://profissional.ai/fontes
- Open data catalog JSON: https://profissional.ai/dados/catalogo.json
- Open data dictionary JSON: https://profissional.ai/dados/dicionario.json
- Occupation index JSON: https://profissional.ai/dados/profissoes.json
- Occupation index CSV: https://profissional.ai/dados/profissoes.csv
- Ranking index JSON: https://profissional.ai/dados/rankings.json
- Ranking index CSV: https://profissional.ai/dados/rankings.csv
- Report index JSON: https://profissional.ai/dados/relatorios.json
- Report index CSV: https://profissional.ai/dados/relatorios.csv
- About: https://profissional.ai/sobre
- Coverage dashboard: https://profissional.ai/dashboard
- Occupation open data JSON: https://profissional.ai/dados/profissoes/{slug}.json
- Occupation open data CSV: https://profissional.ai/dados/profissoes/{slug}.csv
- Ranking open data JSON: https://profissional.ai/dados/rankings/{slug}.json
- Ranking open data CSV: https://profissional.ai/dados/rankings/{slug}.csv
- Report open data JSON: https://profissional.ai/dados/relatorios/{slug}.json
- Report open data CSV: https://profissional.ai/dados/relatorios/{slug}.csv

Data basis:
- CBO/MTE for occupation identity, families, official synonyms and activities.
- RAIS 2023 for formal employment stock, salaries and state cuts.
- Novo CAGED for formal admissions, dismissals and movement.
- WRTMJ, AIOE and O*NET as international references for automation, AI exposure and skills.
- Editorial enrichment is AI-assisted and tiered; only pages with explicit source and tier should be treated as reviewed data summaries.

Crawler guidance:
- Prefer canonical occupation URLs at https://profissional.ai/{slug}.
- Use `/dados/dicionario.json` to interpret field names, units, source provenance and limits before summarizing open data.
- Use `/dados/profissoes.json` or `/dados/profissoes.csv` to discover every occupation snapshot.
- For machine-readable per-occupation snapshots, use `/dados/profissoes/{slug}.json` or `/dados/profissoes/{slug}.csv`.
- Use `/dados/rankings.json` or `/dados/rankings.csv` to discover every ranking snapshot.
- For machine-readable ranking rows, use `/dados/rankings/{slug}.json` or `/dados/rankings/{slug}.csv`.
- Use `/dados/relatorios.json` or `/dados/relatorios.csv` to discover every aggregated report snapshot.
- For machine-readable report aggregates, use `/dados/relatorios/{slug}.json` or `/dados/relatorios/{slug}.csv`.
- Prefer `/profissoes` for the catalog, `/estados` for state cuts, `/setor` for sector cuts and `/fontes` for source methodology.
- Do not cite legacy aliases such as `/preview`, `/profissoes-por-estado`, `/profissoes-em-alta`, `/profissoes-mais-bem-pagas` or old ranking aliases like `/rankings/maior-risco-automacao`; they redirect with 308 to canonical URLs.
- Do not infer salary, demand or future projection as audited unless the page states source and tier.