AmazonPosted 1w ago

Machine Learning Data Linguist, Alexa AI

Machine Learning Data Linguist, Alexa AI at Amazon scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.

US, WA, Seattlemidfull-time$22-$38/hr

AI in this role

Performs data annotation, dataset generation, and error analysis for Alexa AI language models.

microsoft-excel

ai-data-labelingdata-annotationnatural-language-processingdata-analysislinguisticserror-analysis

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, or experience in software development
- 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

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Data LabelingData AnnotationNatural Language ProcessingData AnalysisLinguisticsError AnalysisMicrosoft Excel

Questions you could be asked

How do you keep labeling instructions consistent across a large annotation team?
Tell me about a project where data annotation was part of your work. What did you do?
Tell me about a project where natural language processing was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
Tell me about a project where linguistics was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Data Labeling, Data Annotation, Natural Language Processing, Data Analysis, and Linguistics. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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