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 customers, that enables them to build advanced ML models.
BASIC QUALIFICATIONS:
- Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience with language annotation and other forms of data markup
- Knowledge of one or more scripting languages (e.g., Python, Ruby, Perl)
- 2+ years experience in computational linguistics or language data processing or AI data creation
- 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
PREFERRED QUALIFICATIONS:
- Experience with database queries and data analysis processes (SQL, R, MATLAB, etc.), or UnixThis website uses cookies to ensure you get the best experience. Learn more