Language Engineer, Artificial General Intelligence - Data Services

Amazon • Boston, MA

2d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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.)

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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level