Language Engineer, Artificial General Intelligence

DESCRIPTION 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
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA | Boston, MA, USA BASIC QUALIFICATIONS •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 with language annotation and other forms of data markup
•Experience with scripting languages, such as Python
•Experience working with speech and text language data in multiple languages
•Excellent communication, strong organizational skills and very detailed oriented
•Comfortable working in a fast paced, highly collaborative, dynamic work environment