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Nabilla I. — Junior AI Data Annotator from Indonesia

Nabilla I.

Junior AI Data Annotator

Indonesia 2-3 years
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About

Nabilla I. is a highly skilled professional specializing in speech annotation, dataset quality assurance, and AI model evaluation. Gaining extensive experience as an Audio Data Annotator at MagicData, she expertly reviewed large-scale datasets for English and Indonesian speech, ensuring transcription accuracy and consistency. Her role involved annotating over 2,000 tasks, identifying errors, and leading teams to maintain project timelines and standards. As an AI Trainer Generalist at DataAnnotation.tech, Nabilla has further honed her expertise by crafting prompts for AI models, evaluating performance, and providing detailed rationales for AI response assessments. Additionally, she co-founded Wordie Translatie, a translation agency offering diverse services between Indonesian and English. Nabilla's academic background in English Literature and her numerous achievements, including a research publication and debate competition accolades, underscore her proficiency in both language and AI domains.

Experience

  • Wordie Translatie

    Academic Project · 2026 — Present
    Co-founded a four-member translation agency specializing in academic, business, and creative translation services for Indonesian and English texts. Provided high-quality translation, transcreation, editing, and proofreading for academic journal articles and professional documents. Oversaw client communications and project deadlines, while managing marketing efforts on social media platforms to ensure rapid turnaround times for express orders.
  • Content Evaluator

    CrowdGen · 2026 — 2026
    Evaluated image and video advertisements to determine suitability and compliance with policies. Identified sensitive content and potential violations, including adult material and scams, while consistently applying evaluation guidelines for advertising data.
  • Audio Data Annotator

    MagicData · 2024 — 2025
    Performed speech data annotation and labeling for US-English, UK-English, and Indonesian for AI training projects. Executed quality assurance reviews to confirm transcription accuracy according to project guidelines. Annotated and reviewed over 2,000 tasks related to speech projects, identifying errors and inconsistencies, along with non-speech elements such as background noise and laughter. Mentored a team of annotators, ensuring project timelines and quality standards were met. Coordinated with remote teams to uphold annotation consistency.
  • AI Trainer Generalist

    DataAnnotation.tech · 2025 — Present
    Developed and tested prompts aimed at evaluating AI performance in various scenarios in both Indonesian and English. Assessed AI-generated responses for accuracy, relevance, and coherence, while writing rationales that explain evaluation choices and outline AI strengths and weaknesses. Crafted category-specific prompts for testing AI model abilities and labeled multimodal datasets that included both text and image data. Conducted data cleaning and quality assurance in compliance with detailed project guidelines.

Skills & Expertise

Education

  • Bachelor of Humanities in English Literature, Linguistics Concentration
    UIN Raden Mas Said Surakarta · — — 2026

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