The Language Engineer role within Amazon's Conversational Shopping team focuses on enhancing AI-assisted shopping experiences through language technology. This position involves developing automated solutions in the Large Language Model (LLM) space and collaborating with cross-functional teams to improve editorial quality. The engineer will design workflows, create annotation tools, and analyze data to drive efficiencies in product development. This high-visibility role requires strong analytical skills and a passion for the intersection of language and technology.

• Master's degree or above in Computational Linguistics
• Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development
• 2+ years of computational linguistics, language data processing, semantics, or philosophy of language experience
• Experience in development in the last 3 years, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

• Produce, process and manipulate different types of language data, analyze, and provide efficient solutions
• Automate operations and perform data analysis using coding/scripting language such as Python
• Develop LLM-assisted workflows and annotations solutions to support Human-in-the-loop evaluations
• Design and lead editorial data production/collection by defining scope with internal customer teams
• Define clear editorial workflows to meet or exceed the quality bar
• Adopt and design control mechanisms, metrics and methodologies for editorial and annotation quality
• Maximize productivity, process efficiency and quality through streamlined workflows and process standardization
• Collaborate with editors, applied scientists, engineers, and product managers to deliver the optimal customer experience
• Establish processes and mechanisms to onboard and train editors on an ongoing basis
• Handle work prioritization and deliver based on business priorities
• Be flexible in changes to conventions deployed in response to customers’ requests and change workflows accordingly

• 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.