Amazon.com Services LLC
Data Science, Language Engineer, Artificial Intelligence
LanguageEngineer,ArtificialGeneralIntelligence-DataServices
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Language Engineer, Artificial General Intelligence - Data Services at Amazon.com Services LLC. Skills: Natural language processing, Machine learning, Data services. Design data collection tasks. Author instructions”
Industry & Context.
Problem solving skills
What They're Looking For.
Must Have
Masters’s or higher degree, 2+ years experience, language annotation experience, data markup experience, scripting languages experience, speech and text data experience, multiple languages experience, Excellent communication skills, organizational skills, very detailed oriented
Nice to Have
PhD in Computational Linguistics, bootstrapping language data collections, working with speech and text data, multiple languages experience, writing grammars experience, building FSTs experience, statistical language modeling experience, version control experience, agile development experience, database queries knowledge, data analysis processes knowledge, support several projects, accept reprioritization, think creatively, analytical skills, problem solving skills
What You'll Do.
Design data collection tasks
Define quality targets
Implement quality mechanisms
Coordinate data collection efforts
Schedule data collection
Report data collection
Analyze language insights
Extract language insights
Build tools for data analysis
Build tools for data authoring
Bootstrap functionalities
Collaborate with scientists
Collaborate with engineers
Evaluate language model performance
Handle competing requests
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Engineers; Data scientists
Communication Scope
Communication
Process & Methodology
Agile development
Full Job 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 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 Preferred Qualifications: - PhD in Computational Linguistics
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