The Senior Language Engineer role at Amazon's AGI Data Services organization focuses on developing complex, multimodal datasets to train and evaluate AI models. The team aims to innovate and enhance AI capabilities across various Amazon products. This position involves collaboration with cross-functional teams, including product managers and data scientists, to ensure high-quality AI systems. The role requires expertise in data creation strategies and the ability to analyze large datasets.

• Master's degree in a relevant field such as Computational Linguistics or equivalent.
• PhD in Computational Linguistics or equivalent field with computational emphasis.
• 5+ years of experience creating AI datasets for complex and evolving requirements.
• 5+ years of experience working with speech, text, and multimodal data in multiple languages.
• 5+ years of experience defining and leading cross-team data creation strategies.
• 5+ years of experience with Machine Learning training and evaluations.
• Familiarity with technical concepts such as APIs and version control.

• Define and lead the organization's data creation strategies for science partners.
• Design and lead complex data collections with human participants.
• Analyze and extract insights from large amounts of data.
• Build tools or prototypes for data analysis or creation using Python or another scripting language.
• Collaborate with scientists and engineers to evaluate AI model performance.

• 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.