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The everything store and cloud computing leader
Key Highlights
- Headquartered in South Lake Union, Seattle, WA
- Over 1.5 million employees worldwide
- Leading cloud services through Amazon Web Services (AWS)
- Acquired Whole Foods, Twitch, and Ring
Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...
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Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...
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Skills & Technologies
Overview
Amazon is hiring a Language Engineer for their Artificial General Intelligence Data Services team to develop complex datasets for AI model training. You'll work with Python and collaborate with cross-functional teams to drive innovation in AI. This position requires experience in data collection and analysis.
Job Description
Who you are
You have a strong background in data services and engineering, with experience in designing complex data collections that meet scientific needs. You are skilled in authoring instructions and defining quality targets, ensuring that data collection efforts are well-coordinated and deliver high-quality results. Your analytical skills allow you to extract insights from large datasets, and you are comfortable using synthetic and model-based data generation methods to create innovative solutions.
You are proficient in Python or another scripting language, which you use to build tools or prototypes for data analysis and creation. Your collaborative nature enables you to work effectively with scientists, software engineers, and other data creators, ensuring that AI models are evaluated and trained to the highest standards. You are passionate about advancing the state-of-the-art in AI and are eager to contribute to a team that values innovation and excellence.
Desirable
Experience with multimodal datasets and human-in-the-loop data collections is a plus. Familiarity with AI model evaluation and training processes will enhance your contributions to the team. You are open to learning new methodologies and technologies that can improve data collection and analysis.
What you'll do
As a Language Engineer at Amazon, you will play a critical role in the development of diverse datasets for training and evaluating AI models. You will design and conduct complex data creation tasks, utilizing both synthetic and model-supported data generation methods. Your responsibilities will include planning, scheduling, and reporting on data collection efforts, ensuring that all deliverables meet the established quality targets.
You will analyze large amounts of data to extract valuable insights that inform the development of AI functionalities. Building tools or prototypes for data analysis will be a key part of your role, allowing you to streamline processes and enhance the efficiency of data collection. You will collaborate closely with cross-functional teams, including product managers, engineers, and data scientists, to ensure that our AI systems are best in class.
Your work will directly impact the innovation and advancement of AI technologies at Amazon, as you contribute to the creation of datasets that drive the performance of AI models. You will be part of a dynamic team that values collaboration and creativity, and you will have the opportunity to influence the direction of AI development within the organization.
What we offer
Amazon provides a comprehensive benefits package that includes competitive compensation, equity options, and sign-on payments. You will have access to a full range of medical, financial, and other benefits that support your well-being and professional growth. The position is based in Bellevue, Washington, and offers the chance to work in a collaborative environment that fosters innovation and excellence in AI development. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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