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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Data Linguist, Alexa AI - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Salary:** $43,680.0 - $76,960.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Amazon Alexa, Data Analysis, Unix, Computational Linguistics, Data Visualization, Excel Formulas, Machine Learning, Software Tools, Data Processing, Software Coding - **Published:** July 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d2e048d48f9723e6 ## About the Role * Bachelor's degree or equivalent * Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup, as well as leading a team of peers * Experience using Microsoft Excel for data analysis, formulae, and data visualization * 2+ years of computational linguistics, language data processing, semantics, or syntax experience, * Bachelor's degree in English, Communications, Linguistics, or a related field * Experience solving basic problems by writing code or scripts with some assistance * Experience working with large sets of data and deriving practical insights * Experience that includes strong analytical skills, attention to detail, and effective communication abilities * Interest in pragmatics and conversational design * Ability to navigate a Unix terminal and use common command line tools ## Description Amazon is seeking a Machine Learning Data Linguist to join our Alexa AI team. This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables. The ML Data Linguist must have a passion for data, efficiency, accuracy, and should be capable of: * Handling unique data analysis requests from a range of data customers * Providing data quality expertise to other team members and coaching improvements * Delivering high quality work in a fast-paced environment * Working autonomously with minimum direction * Building a thorough understanding of conventions and providing support to global sites * Understanding changes to conventions deployed in response to customers' requests and modifying workflows accordingly * Contributing to process improvements to reduce handling time and improve output * Improving software tools by identifying bugs and suggesting enhancements * Diving deep into issues and implementing solutions independently * Proactively addressing issues and problems * Keeping up with changing project conventions and priorities, * Label, generate, and ensure the quality of datasets. * Work closely with ML Data Linguists and scientists to understand data ambiguities and resolve issues in annotation guidelines. * Conduct in-depth qualitative error trend analysis, developing action plans to enhance data quality. * Collaborate with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows. A day in the life Most days are spent collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements. About the team The work that we do is confidential, but we are a highly collaborative team who obsess over our internal and external customers. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Training Bots on Deliveroo Data, Alexa Can Swear and Mushroom Electronics - Julia Kordick](https://www.wearedevelopers.com/videos/1839-training-bots-on-deliveroo-data-alexa-can-swear-and-mushroom-electronics-julia-kordick) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [The Time Paradox: Building Timezone-Safe Python/Django Applications](https://www.wearedevelopers.com/videos/1915-the-time-paradox-building-timezone-safe-python-django-applications) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100)