Machine Learning Data Linguist, Alexa AI

Amazon; Seattle (WA); On-site; USD 30,000 - 52,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon seeks a Machine Learning Data Linguist for the Alexa AI team to focus on language data, primarily in text annotation and data analysis deliverables.

You will label, generate, and ensure the quality of datasets while collaborating with ML Data Linguists and scientists to resolve annotation ambiguities and improve processes across global sites.

Qualifications

• Bachelor's degree or equivalent.
• Experience in natural language data labeling or data annotation and leading a team.
• 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

Linguistic annotation

Data labeling

Excel

Education

Bachelor's degree or equivalent

Bachelor's degree in English, Communications, Linguistics

Tools

Unix terminal

Job description

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.

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

Key job 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.

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.

Basic 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

Preferred Qualifications

• Experience in computational linguistics, language data processing, semantics, or syntax
• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 - 21.58 - 37.78 USD hourly

USA, WA, Seattle - 21.58 - 37.78 USD hourly

Company - Amazon.com Services LLC