Machine Learning Data Linguist, Alexa AI

Amazon.com, Inc.
Boston, MA, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$43,680.0 - $76,960.0
Working hours
Regular working hours
Languages
English

Tech stack

Microsoft Excel Artificial Intelligence Amazon Alexa Data Analysis Unix Computational Linguistics Data Visualization Excel Formulas Machine Learning Software Tools Data Processing Software Coding

Job 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.

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
  • 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

Benefits & conditions

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MA, Boston - 21.00 - 37.00 USD hourly USA, WA, Seattle - 21.00 - 37.00 USD hourly

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