Amazon
Boston, Massachusetts, USA
+ 1 other location
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.
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
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, or experience in software development
Knowledge of UNIX environment and shell scripting
Interest in pragmatics and conversational design
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