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Eka W. — Mid-Level AI Data Annotator from Indonesia

Eka W.

Mid-Level AI Data Annotator

Indonesia 6+ years
Open to offersNew to Platform
Languages
EnglishIndonesian
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About

Eka W. is a seasoned AI Data Annotator and LLM Evaluator based in Indonesia, specializing in search quality rating and AI response evaluation. With a focus on applying precise guidelines, she excels in assessing the accuracy, relevance, and consistency of AI-generated content, including identifying hallucinations and analyzing user intent. Since 2026, Eka has worked with Welocalize on the UHRS Platform, performing tasks such as side-by-side comparisons to enhance output quality and maintaining high standards in large-scale annotations. Alongside this, she has extensive remote project experience since 2021, validating linguistic data and ensuring flawless content development. Her project portfolio includes ad quality ratings and chatbot evaluations, demonstrating her capability in providing structured feedback to refine AI output. Eka holds a Bachelor of International Relations from Mulawarman University and has undergone specialized training, including an HR Specialist program at IODA Academy.

Experience

  • Search Quality Rater (AI Rater)

    Welocalize · 2026 — Present
    Evaluated AI-generated content daily, ensuring adherence to guidelines and accuracy. Conducted side-by-side (SxS) comparisons to determine the best outputs and identified hallucinations, misleading claims, and inconsistencies. Implemented query classification alongside user intent analysis while maintaining high-quality standards across large-scale annotation tasks.

  • AI Related & Data Quality Experience

    Remote Projects · 2021 — Present
    Carried out linguistic evaluation and text validation tasks, focusing on clarity, grammatical accuracy, and consistency within the Indonesian context. Utilized English-based guidelines to enhance localized data, providing structured feedback aimed at improving AI outputs.

  • Ads Quality Rating

    Welocalize
    Evaluated the relevance of advertisements, ensuring alignment with landing pages and user intent.

  • AI Response Evaluation Practice

    Company not specified
    Assessed chatbot outputs for accuracy, relevance, and safety.