LanguageEngineer,ArtificialGeneralIntelligence

The Amazon Artificial General Intelligence (AGI) Data Services organization is looking for a Language Engineer with experience in dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are aligned with human policies and preferences. Key job responsibilities Specifically, the Language Engineer will: • Design data collection/creation tasks 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 • Analyze and extract language-related insights from large amounts of data • Build tools or tool prototypes for data analysis or data authoring, using Python or another scripting language • Use modeling tools to bootstrap or test new functionalities • Collaborate with scientists and software engineers to evaluate performance of language models • Handle competing requests from a range of data customers Basic Qualifications: - Experience with language annotation and other forms of data markup - Experience in one or more scripting languages (e.g., Python, Ruby, Perl) - Experience in a fast paced, dynamic organization - Masters’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 - Experience working with speech and text language data in multiple languages - Excellent communication, strong organizational skills and very detailed oriented Preferred Qualifications: - PhD in Computational Linguistics (or equivalent