About the job
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.
Responsibilities
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
Qualifications
Minimum
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
Preferred
PhD in Computational Linguistics (or equivalent field with computational emphasis)
Expertise in bootstrapping language data collections in a quickly changing environment
Comfortable working with speech and text language data in multiple languages
Experience in writing grammars and building FSTs
Experience with statistical language modeling
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