The Amazon Artificial General Intelligence (AGI) Data Services organization is seeking Language Engineers to support the development of complex, multimodal datasets for AI model training and evaluation. This role involves collaboration with cross-functional teams, including product managers, engineers, and data scientists, to ensure high-quality AI systems. The team focuses on innovative approaches to data collection and analysis, utilizing both synthetic and human-in-the-loop methods. Candidates will play a critical role in advancing AI capabilities across various Amazon products.

• Master's or higher degree in a relevant field such as Computational Linguistics or equivalent.
• 2+ years of experience in computational linguistics, 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.

• Design complex data collections with human participants in response to science needs.
• Conduct complex data creation tasks using synthetic and model-based data generation methods.
• 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.
• Collaborate with scientists, software engineers, and other data creators to evaluate the performance of AI models.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.