Amazon-posted 3 days ago
Full-time • Mid Level
Boston, MA

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. 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.

  • 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
  • Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development
  • 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
  • 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 and technical concepts such as API
  • Practical knowledge of version control and agile development; familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
  • 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 [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information.
  • Our compensation reflects the cost of labor across several US geographic markets.
  • Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
  • For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits [https://www.aboutamazon.com/workplace/employee-benefits].
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service