Amazon.com Services LLC
Technology
LanguageEngineer,ArtificialGeneralIntelligence
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Language Engineer, Artificial General Intelligence at Amazon.com Services LLC. Skills: Language Engineering, Data Services, AI Data Creation, Machine Learning. Design complex data collections. Author instructions”
Industry & Context.
Analyze data; Extract insights
What They're Looking For.
Must Have
Experience owning language data collection projects, Experience with language annotation, Experience in scripting languages, Master's degree in relevant field, 2+ years experience in AI data creation, Experience with speech, text, multimodal data, Excellent communication skills, Excellent organizational skills, Very detailed oriented
Nice to Have
PhD in Computational Linguistics, Expertise in bootstrapping AI data collections, Extensive experience with speech, text, multimodal data, Experience in data creation for complex agentic workflows, Practical experience with Machine Learning, Practical knowledge of version control, Agile familiarity with database queries, Familiarity with data analysis processes
What You'll Do.
Design complex data collections
Define quality targets
Implement quality mechanisms
Coordinate data collection efforts
Design data creation tasks
Conduct data creation tasks
Extract insights from data
Build tools for data analysis
Build tools for data creation
Evaluate AI model performance
How You'll Work.
Team & Collaboration
Cross-functional teams; Science and engineering team; Product managers; Engineers; Data scientists; Software engineers; Data creators
Communication Scope
Excellent communication
Process & Methodology
Agile
Full Job Description
The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants 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 - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our cust
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