Machine Learning Data Linguist, Alexa AI

About the role

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 work that we do is confidential, but we are a highly collaborative team who obsess over our internal and external customers.

Responsibilities

• 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.
• Most days are spent collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements.

Requirements

• 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

Qualifications

• Experience in computational linguistics, language data processing, semantics, or syntax
• 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, or experience in software development
• Knowledge of UNIX environment and shell scripting
• Interest in pragmatics and conversational design

Skills

• Handling unique data analysis requests from a range of data