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Alberto TuziAT

Alberto Tuzi

SEO Copywriter | Data Annotator ITA-ENG

€200/day
Rome, IT
8-15 years

Average response time: 1 hour

About 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.
  • Italian

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • CANA
    Copywriter & Proofreader
    January 2025 - Today (1 year and 5 months)
    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
    May 2021 - May 2024 (3 years)
    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
    February 2018 - Today (8 years and 4 months)
    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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Education

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

Skill set

Categories