Job Overview
Job TitleMachine Learning Data Linguist
Job TypeFull Time
Offered Salary$77,000
LocationBoston, MA
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Job Description
Machine Learning Data Linguist, Alexa AI
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.
About the Role
The ML Data Linguist must have a passion for data, efficiency, and accuracy. Key responsibilities include:
- Handling unique data analysis requests from various data customers.
- Providing data quality expertise and coaching improvements to team members.
- Delivering high-quality work in a fast-paced, autonomous environment.
- Building a thorough understanding of conventions and supporting global sites.
- Adapting to changes in conventions and modifying workflows accordingly.
- Contributing to process improvements to reduce handling time and enhance output.
- Improving software tools by identifying bugs and suggesting enhancements.
- Independently diving deep into issues and implementing solutions.
- Proactively addressing problems and keeping up with changing project conventions and priorities.
Key Job Responsibilities
- Label, generate, and ensure the quality of datasets.
- Collaborate with ML Data Linguists and scientists to understand and resolve data ambiguities in annotation guidelines.
- Conduct in-depth qualitative error trend analysis and develop action plans to enhance data quality.
- Partner with ML Data Linguists, scientists, and Ops Managers to drive innovation in processes, tracking, and annotation workflows.
A Day in the Life
Most days involve collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and recommending process improvements.
About the Team
The work is confidential, but the team is highly collaborative and customer-obsessed.
Basic Qualifications
- Bachelor's degree or equivalent.
- Experience in natural language data labeling, data annotation, linguistic annotation, or other data markup.
- Experience leading a team of peers.
- Minimum 2 years of experience in computational linguistics, language data processing, semantics, or syntax.
- Proficiency using Microsoft Excel for data analysis, formulae, and data visualization.
Preferred Qualifications
- 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.
Key skills/competency
- Machine Learning
- Data Annotation
- Linguistic Annotation
- Natural Language Processing
- Data Quality
- Data Analysis
- Process Improvement
- Computational Linguistics
- Excel
- Team Leadership
How to Get Hired at Amazon
- Tailor your resume: Highlight your experience in data annotation, linguistic analysis, and team leadership, using keywords from the job description like 'natural language data labeling' and 'data quality'.
- Showcase your analytical skills: In your application and interviews, provide specific examples of how you've used Excel for data analysis and visualization, and your experience with computational linguistics.
- Demonstrate leadership experience: Emphasize any experience you have leading peer teams or driving process improvements, as this is a key requirement for the Machine Learning Data Linguist role.
- Prepare for technical questions: Be ready to discuss your understanding of natural language processing, data quality methodologies, and your experience with tools like Microsoft Excel and potentially Unix command line.
- Express customer obsession: Align your answers with Amazon's customer-centric culture, showing how your work contributes to improving customer experience.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What is the primary focus of the Machine Learning Data Linguist role at Amazon's Alexa AI?
02What are the basic qualifications for the Machine Learning Data Linguist position?
03What preferred qualifications would make a candidate stand out for this role at Amazon?
04How does Amazon ensure data quality in this Machine Learning Data Linguist role?
05What does a typical day look like for a Machine Learning Data Linguist at Amazon?
06What is the compensation range for the Machine Learning Data Linguist position in Boston and Seattle?
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