Machine Learning Data Associate II | Amazon.com Services LLC | 68,352 reviews

Local Jobs Amazon.com Services LLC in Teacher & Mentor & Tutor & Coach & Trainer
  • United States, 68,352 reviews View on Map
  • Post Date : January 14, 2021
  • Apply Before : February 13, 2021
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Job Description

  • Bachelor’s degree with 1+ years of customer service experience, critical thinking skills and data based decision making
  • Experience working in complex and frequently ambiguous spaces; making sense of customer need and being able to frame that as clear requirements
  • Excellent communication skills, both written and verbal
  • Able to work under tight timelines with minimal supervision
  • Hands-on, “roll up your sleeves” mindset

Interested in working with data and machine learning? Do you have a passion for customer service? Join our Customer Engagement Technologies automation team in developing language solutions that power self-service and automation across Amazon. This role focuses on English language data, primarily in the areas of text annotation, workflow and solution development, and general data analysis deliverables.

We are seeking a ML Data Associate II to join our team in Seattle to help create, label and curate the data that are required to measure our model accuracy and build new automation features. You should feel comfortable labeling and understanding data using knowledge of customer service policies.

The new associate should be agile, creative, and highly motivated to:

  • Perform root cause analysis using basic data analysis in Excel and SQL on annotations to identify opportunities in customer service products.
  • Understand automation products and effectively represent data based customer and associate behavior to improve automation workflows.
  • Perform annotation to monitor and train machine learning models for multiple products across the Customer Engagement Technology organization.
  • Participate in automation solutioning between cross functional teams and validate the launch of proposed solutions.
  • Deliver results according to project schedules and quality while maintaining SLAs on velocity, productivity and quality.
  • Experience working as a transcriber or annotator
  • Practical knowledge of data processing needs and trade-offs
  • Fluency in one additional language, particularly Spanish

 

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