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Lina P. — Mid-Level AI Data Annotation Specialist from Indonesia

Lina P.

Mid-Level AI Data Annotation Specialist

Indonesia 3-6 years
Open to offersNew to Platform
Languages
IndonesianEnglish
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About

Lina P. is a highly skilled AI Data Annotation Specialist with over three years of specialized experience in conversation data labeling, intent classification, and chatbot response optimization for leading e-commerce platforms like TikTok Shop and Shopee. At PT Transcosmos Indonesia, she meticulously processed and labeled multilingual conversation entries, categorizing intents to enhance AI chatbot models. Her expertise in identifying conversation patterns and rewriting chatbot responses has significantly boosted user satisfaction scores. Lina's work extends to quality assurance, where she validated AI outputs and flagged inconsistencies, ensuring top-tier model performance. She also played a crucial role in dispute arbitration and risk detection by standardizing processes that curbed policy violations. Her cross-functional collaboration skills ensured adherence to SLAs, making her an asset in managing complex stakeholder interactions. Lina's academic background in Japanese Language from Jenderal Soedirman University further complements her professional capabilities in CRM tools and multilingual data processing, enhancing her proficiency in AI-powered support workflows.

Experience

  • AI Data Annotation Specialist & Tier 2 Support

    PT Transcosmos Indonesia · 2022 — 2025
    Processed and labeled hundreds of customer conversation entries daily in Bahasa Indonesia and English, categorizing intent types to create precise training datasets for AI chatbot models. Identified recurring customer query patterns and mapped them to suitable intent categories to enhance chatbot handling of user inputs. Refined and rewrote automated chatbot responses to improve empathy, brevity, and contextual accuracy. Reviewed and validated chatbot-generated outputs against platform guidelines, flagging inconsistencies to improve model performance. Acted as a neutral arbitrator for buyer-seller disputes, analyzing evidence related to product quality and delivery issues. Standardized review processes for the Incentive Abuse category, detecting fraudulent delivery address patterns. Coordinated stakeholder inquiries across Buyers, Sellers, and Creators while ensuring adherence to SLAs and platform guidelines.
  • Customer Service Specialist

    PT VADS Indonesia · 2021 — 2022
    Managed over 100 concurrent customer chats daily while achieving high CSAT scores and meeting KPI performance. Successfully resolved complex payment, logistics, and refund issues, providing comprehensive buyer support.

Skills & Expertise

Education

  • Bachelor of Japanese Language
    Jenderal Soedirman University · — — 2021