Data Analyst • Senior

Who you are

You have a strong background in data analysis and are proficient in handling various types of data, including text, speech, audio, image, and video. You understand the importance of confidentiality and customer privacy, and you are committed to delivering high-quality labeled data that meets key performance indicators. You possess excellent judgment and decision-making skills, especially when faced with ambiguous or incomplete information. Your attention to detail allows you to pivot between different categories of requirements seamlessly, ensuring that you meet operational deliverables effectively.

You are capable of analyzing root causes and identifying error patterns, which helps you propose solutions to enhance the quality of labeling tasks and their outputs. You thrive in a collaborative environment and are eager to contribute to the responsible development and deployment of AI technologies. Your ability to generate high-quality human insight data across various modalities makes you a valuable asset to the team.

What you'll do

In this role, you will maintain strict confidentiality while working with a diverse range of data types. You will deliver high-quality labeled data using in-house tools and software, ensuring that you meet Amazon's key performance indicators. You will demonstrate proficiency in generating human insight data across text, image, video, and audio modalities. Your responsibilities will include analyzing root causes of errors, identifying patterns, and proposing solutions to improve the quality of labeling tasks. You will support daily operational deliverables for multiple task types assigned to you and your team, ensuring that you contribute to the best results for Amazon's customers.

What we offer

Amazon offers a dynamic work environment where you can be part of the future of human-technology interaction. You will have the opportunity to work with cutting-edge AI technologies and contribute to projects that tackle some of humanity's most challenging problems. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.