AI Language Engineer I, Artificial General Intelligence - Data Services

Description

The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate 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 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 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, enabling them to build advanced ML models.

Basic Qualifications

• Master’s degree or above in Computational Linguistics
• Master’s degree or above in Linguistics or a related field
• Experience in computational linguistics, language data processing, semantics, and philosophy of language
• Experience in Python, Perl, or another scripting language
• Experience in speech and language data analysis

Preferred Qualifications

• Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development

Diversity, Equal Opportunity & Accessibility

Amazon is an equal opportunities employer. We believe that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills, and we value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding priority for Amazon. Please consult our Privacy Notice to learn more about how we collect, use, and transfer the personal data of our candidates: https://www.amazon.jobs/en/privacy_page.

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.