Language Engineer, Amazon

• 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

Desirable

• 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
• 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