Data Associate • Entry-Level

Who you are

You are a detail-oriented individual with a strong ability to manage and evaluate various types of data, including text, voice, images, and videos. Your fluency in Japanese and native-level proficiency in Korean allows you to communicate effectively in a multilingual environment. You have experience in data annotation or related fields, and you understand the importance of data quality in AI development. You are capable of handling multiple tasks simultaneously while maintaining a high level of accuracy and attention to detail. Your strong communication skills enable you to collaborate effectively with team members and stakeholders across different departments. You are eager to contribute to the advancement of AI technologies and possess a growth mindset that drives you to continuously improve.

What you'll do

As a Data Associate at Amazon, you will be responsible for evaluating and labeling diverse datasets essential for AI development. This includes generating high-quality human judgment data and monitoring harmful content generated by AI systems. You will also engage in quality management and improvement processes, identifying error patterns and proposing solutions to enhance data quality. Your role will involve supporting daily operations across multiple task types and responding proactively to internal inquiries. You will contribute to responsible AI development by making informed decisions based on incomplete information and ensuring strict adherence to privacy and data security protocols. Additionally, you may be involved in translating guidelines from Japanese or English into your target language, further supporting the team's objectives.

What we offer

At Amazon, you will be part of a culture that values inclusivity and empowers employees to deliver the best results for customers. We provide a supportive work environment where you can grow your skills and contribute to cutting-edge AI technology development. You will have the opportunity to work with a diverse team and engage in meaningful projects that impact the future of technology. We encourage you to apply even if your experience doesn't match every requirement, as we value curiosity and a willingness to learn.