About the Role

The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models using synthetic data generation, model-supported methods, and human-in-the-loop collections. They will drive innovation in AI model evaluation and training, collaborating with cross-functional teams to ensure best-in-class AI systems.

Key Responsibilities

• Design complex data collections with human participants, including authoring instructions and coordinating efforts
• Design and conduct data creation tasks using synthetic and model-based generation methods
• Analyze and extract insights from large datasets
• Build tools for data analysis or creation using Python or other scripting languages
• Collaborate with scientists and engineers to evaluate AI model performance

Required Skills & Qualifications

Must Have:

• Master's or higher degree in Computational Linguistics or equivalent field
• 2+ years experience in computational linguistics, language data processing, or AI data creation
• Experience with language data annotation systems and data markup
• Proficient with scripting languages such as Python

Nice to Have:

• PhD in Computational Linguistics or equivalent field
• Experience in data creation for complex agentic workflows
• Familiarity with technical concepts such as APIs and database queries

Benefits & Perks

• Medical, financial, and other benefits
• Equity and sign-on payments may be provided
• Inclusive culture with workplace accommodations for disabilities