Data labeler
My background in transcription, multilingual support, and AI evaluation allows me to contribute high-quality data that directly improves model performance and reliability.
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I have hands-on experience in AI training and data labeling across multiple platforms, including Outlier, Remotasks, and similar AI-focused projects. My work has involved annotating and evaluating text, image, and conversational data to improve model accuracy, relevance, and safety. I’m experienced with tasks such as content classification, quality review, prompt and response evaluation, transcription, and guideline-based labeling, always with strong attention to detail and consistency. What sets me apart is my ability to quickly understand complex annotation guidelines and apply them accurately at scale. I bring a strong command of English, experience working with large datasets under tight quality standards, and familiarity with feedback-driven iteration common in AI training workflows. My background in transcription, multilingual support, and AI evaluation allows me to contribute high-quality data that directly improves model performance and reliability.
My background in transcription, multilingual support, and AI evaluation allows me to contribute high-quality data that directly improves model performance and reliability.
Bachelor of Arts, Language and Linguistics
Transcription and Language Services Specialist