Data Analyst • Senior

Who you are

You have a strong background in data handling and analysis, with a keen eye for detail and the ability to work with various data types including text, speech, audio, image, and video. You understand the importance of maintaining confidentiality and customer privacy in all your tasks. You are capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information, ensuring that you deliver high-quality labeled data that meets KPIs. Your experience allows you to pivot quickly between different categories of requirements, demonstrating flexibility and adaptability in your work.

You are detail-oriented and possess the analytical skills necessary to identify root causes and error patterns in data labeling tasks. You are proactive in proposing solutions to enhance the quality of outputs, ensuring that the data you work with is reliable and accurate. Your ability to support daily operational deliverables for multiple task types showcases your organizational skills and commitment to excellence. You thrive in environments where you can contribute to the responsible development and deployment of AI technologies, and you are excited about the potential of generative AI to transform human-technology interaction.

Desirable

Fluency in French is a significant asset, as it allows you to engage with a broader range of data and collaborate effectively with diverse teams. Experience in AI or machine learning projects would be beneficial, as it aligns with Amazon's commitment to developing and deploying AI responsibly. Familiarity with in-house tools and software for data labeling will enhance your ability to deliver high-quality results efficiently.

What you'll do

In this role, you will maintain strict confidentiality while working with a variety of data types, ensuring that customer privacy remains a top priority. You will deliver high-quality labeled data using guidelines provided, contributing to Amazon's mission of responsible AI development. Your responsibilities will include analyzing root causes of errors in data labeling tasks and proposing solutions to improve quality. You will support daily operational deliverables, demonstrating your ability to manage multiple tasks effectively.

You will collaborate with cross-functional teams to ensure that the data you provide meets the highest standards of quality and accuracy. Your insights will play a crucial role in enhancing the performance of AI models, as you generate high-quality human insight data across various modalities. You will be expected to demonstrate proficiency in using in-house tools and software, contributing to the overall efficiency of the data labeling process.

What we offer

Amazon offers a dynamic work environment where you can be part of a team that is at the forefront of AI technology. You will have the opportunity to work on innovative projects that have a real impact on the future of human-technology interaction. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in building the future of AI and making a difference in the world.