Arie Zeev Raskin

I’m a highly motivated professional with a passion for languages, technology, and precision. Over the past few years, I’ve built experience in transcription, AI data annotation, and multilingual communication, combining attention to detail with a curiosity for how language and technology intersect.

Most recently, I worked as an AI Content Specialist and Transcriber at TransPerfect, where I transcribed and labeled complex texts in both Hebrew and English. This role taught me the importance of accuracy and consistency, as even small mistakes can affect AI training outcomes. I became skilled at following detailed project guidelines, managing large volumes of content, and ensuring that the data I worked with met the high-quality standards required for machine learning applications. I found the work rewarding because it combined linguistic skill with problem-solving — understanding nuance, context, and cultural subtleties to produce precise, meaningful datasets.

Before this, I worked in finance and operations at Citi Bank, managing invoices and vendor relations across multiple markets. This experience sharpened my analytical skills, taught me how to handle complex data efficiently, and reinforced the importance of reliability and meeting deadlines. While it may seem different from AI annotation, I found that these skills translate perfectly to managing annotation projects: attention to detail, accuracy, and a systematic approach are essential in both fields.

I’m also fluent in Hebrew, Hungarian, and English, which allows me to work effectively in multilingual environments and understand the subtleties of language that are crucial for high-quality annotation work. My experience working remotely has helped me become disciplined, self-motivated, and adaptable to different workflows and team structures.

I’m passionate about contributing to projects that improve AI and language technology. I enjoy the process of analyzing data, identifying patterns, and ensuring that every piece of information is accurate and useful. Whether it’s transcribing, labeling, or quality-checking datasets, I bring patience, curiosity, and a strong work ethic to every task.

In short, I combine linguistic expertise, technical aptitude, and a meticulous approach to data, making me well-suited for roles in transcription, AI annotation, and language data projects. I’m excited to continue growing in this field and to contribute to meaningful work that helps technology better understand and serve people.