Machine Learning Data Linguist, Alexa AI

Amazon • Boston, MA

7d • $21 - $37

About The Position

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

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

Nice To Haves

• 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

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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level