Machine Learning Data Linguist, Alexa AI

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables for Alexa AI. The ML Data Linguist will handle unique data analysis requests, provide data quality expertise, and contribute to process improvements. Responsibilities include labeling, generating, and ensuring the quality of datasets, working with ML Data Linguists and scientists to resolve annotation guideline issues, and conducting qualitative error trend analysis.

What you'd actually do

  1. Label, generate, and ensure the quality of datasets.
  2. Work closely with ML Data Linguists and scientists to understand data ambiguities and resolve issues in annotation guidelines.
  3. Conduct in-depth qualitative error trend analysis, developing action plans to enhance data quality.
  4. Collaborate with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows.

Skills

Required

  • natural language data labeling
  • data annotation
  • linguistic annotation
  • data markup
  • leading a team of peers
  • Microsoft Excel for data analysis
  • computational linguistics
  • language data processing
  • semantics
  • syntax

Nice to have

  • analytical skills
  • attention to detail
  • effective communication abilities
  • pragmatics
  • conversational design
  • Unix terminal
  • common command line tools

What the JD emphasized

  • natural language data labeling
  • data annotation
  • linguistic annotation

Other signals

  • data annotation
  • dataset quality
  • linguistic annotation
  • error analysis