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Alberto TuziAT

Alberto Tuzi

SEO Copywriter | Data Annotator ITA-ENG

200 €/jour
Rome, IT
8-15 ans

Délai de réponse moyen : 1h

À propos de Alberto

I help brands and agencies create SEO-driven, high-quality content in Italian and English.
I offer copywriting, content editing on CMS (Adobe AEM, WordPress) and data labeling for AI projects (text, audio, image). Accurate, timely deliveries and measurable results.
  • Italien

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • CANA
    Copywriter & Proofreader
    janvier 2025 - Aujourd'hui (1 an et 5 mois)
    I create and optimize SEO-oriented content for international iGaming and online casino platforms targeting the Italian market. My work includes persuasive copywriting, localization of promotional texts, and linguistic proofreading of editorial materials. I use tools such as SurferSEO, Copywritely, and Readable to ensure clarity, keyword alignment, and consistent tone of voice. By combining creative writing and analytical precision, I help clients improve visibility, readability, and overall brand credibility.
    Copywriting SEO Proofreading/Editing ChatGPT Surfer SEO
  • PARALLELOZERO
    Web Content Editor
    mai 2021 - mai 2024 (3 ans)
    Managed and developed editorial content for Enel Group’s digital platforms, including Enel Green Power, Enel X, Innovability, and Open Power. Oversaw updates, publication workflows, and editorial QA within Adobe Experience Manager, ensuring content consistency and high linguistic quality. Collaborated closely with journalists, designers, and project managers to produce digital materials focused on innovation and sustainability. Attention to accuracy, tone, and timing was essential to maintaining a coherent communication style across all channels.
    Adobe AEM Copywriting Corporate branding
  • APPEN
    Quality Rater & Data Annotator
    février 2018 - Aujourd'hui (8 ans et 4 mois)
    Contributed to linguistic and AI training projects for global clients. Responsible for data labeling, text and audio annotation, and content categorization in Italian and English. Applied detailed guidelines to ensure accuracy and consistency across datasets used for natural language models, search engines, and speech recognition systems. Developed strong expertise in linguistic QA, semantic validation, and the refinement of multilingual AI datasets aimed at improving model performance and output reliability.
    Data annotation Data labeling Translation Italian / English

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Formations

  • Elements of AI
    Helsinki University
    2024
    Elements of AI
  • E-commerce
    Fusolab 2.0
    2018
    E-commerce

Compétences

Catégories