Language Engineer, Artificial General Intelligence - Data Services

Language Engineer, Artificial General Intelligence - Data Services

Job  |  Services LLC

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.

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.

• Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development.
• 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 detail-oriented.
• Comfortable working in a fast paced, highly collaborative, dynamic work environment.

• PhD in Computational Linguistics (or equivalent field with computational emphasis).
• Expertise in bootstrapping AI data collections for quickly evolving requirements.
• Extensive experience working with speech, text, and multimodal data in multiple languages.
• Experience in data creation for complex agentic workflows.
• Practical experience with Machine Learning and technical concepts such as API.
• Practical knowledge of version control and agile development; familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.).

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with…