ML Data Linguist — Language Data & Annotation Expert

Amazon; Seattle (WA); On-site; USD 61,835,000 - 108,310,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Seattle seeks a Machine Learning Data Linguist to join the Alexa AI team. This role focuses on language data, primarily in text annotation and data analysis deliverables, and offers opportunities to impact global customer experiences.

You will label datasets, resolve ambiguities with ML scientists, and analyze error trends to improve annotation guidelines and processes. The position requires a Bachelor’s degree or equivalent and experience with natural language data labeling and Excel.

Qualifications

• 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.

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.

Skills

Natural language data labeling

Education

Bachelor's degree or equivalent

Tools

Microsoft Excel

Unix shell

Scripting

Job description

Amazon in Seattle seeks a Machine Learning Data Linguist to join the Alexa AI team. This role focuses on language data, primarily in text annotation and data analysis deliverables, and offers opportunities to impact global customer experiences.

You will label datasets, resolve ambiguities with ML scientists, and analyze error trends to improve annotation guidelines and processes. The position requires a Bachelor’s degree or equivalent and experience with natural language data labeling and Excel.