The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.

You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.

Key job responsibilities

Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches
Analyze and extract insights from large amounts of data
Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language
Use modeling tools to bootstrap or test new AI functionalities
Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models

About the team
Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.

BASIC QUALIFICATIONS

Master's or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)
2+ years experience in computational linguistics or language data processing or AI data creation
Experience with language data annotation systems and other forms of data markup
Proficient with scripting languages, such as Python
Experience working with speech, text, and multimodal data in multiple languages
Excellent communication, strong organizational skills and very detailed oriented
Comfortable working in a fast paced, highly collaborative, dynamic work environment

PREFERRED QUALIFICATIONS

PhD in Computational Linguistics (or equivalent field with computational emphasis)
Expertise in bootstrapping AI data collections for quickly evolving requirements
Extensive experience working with speech, text, and multimodal data in multiple languages
Experience in data creation for complex agentic workflows
Practical experience with Machine Learning
Familiarity with technical concepts such as APIs
Practical knowledge of version control and agile development
Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
Willingness to support several projects at one time, and to accept reprioritization as necessary
Able to think creatively and possess strong analytical and problem solving skills

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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