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