Machine Learning Data Linguist, Alexa AI
Amazon · Boston, MA
- On site
- Full-time
- $77,000 / year
- Boston, MA
Job highlights
- Analyze and label natural language data for Alexa AI.
- Ensure data quality and lead peer teams.
- Collaborate with scientists on data issues.
- Improve processes and software tools.
- Requires a Bachelor's degree and 2+ years experience.
About the role
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
Skills & topics
- Machine Learning
- Data Linguist
- Alexa AI
- Data Annotation
- Linguistic Analysis
- Natural Language Processing
- Data Quality
- Data Analysis
- Computational Linguistics
- Team Leadership
- Amazon
- AI
- ML
- Boston
- Seattle
How to get hired
- 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.
Technical preparation
Master data annotation and labeling techniques.,Practice advanced Microsoft Excel data analysis.,Review computational linguistics and syntax concepts.,Familiarize yourself with Unix command line tools.
Behavioral questions
Describe a time you improved a process.,How do you handle unique data requests?,How do you ensure accuracy and quality?,Share an example of autonomous problem-solving.
Frequently asked questions
- What is the primary focus of the Machine Learning Data Linguist role at Amazon's Alexa AI?
- The Machine Learning Data Linguist role at Amazon's Alexa AI primarily focuses on handling language data, with key responsibilities in text annotation and general data analysis deliverables to improve Alexa's natural language understanding capabilities.
- What are the basic qualifications for the Machine Learning Data Linguist position?
- Basic qualifications include a Bachelor's degree or equivalent, experience in natural language data labeling/annotation/markup, leading peer teams, at least 2 years of experience in computational linguistics or language data processing, and proficiency with Microsoft Excel for data analysis.
- What preferred qualifications would make a candidate stand out for this role at Amazon?
- Preferred qualifications include strong analytical skills, attention to detail, effective communication, an interest in pragmatics and conversational design, and the ability to use a Unix terminal and common command-line tools.
- How does Amazon ensure data quality in this Machine Learning Data Linguist role?
- Data quality is ensured through in-depth qualitative error trend analysis, developing action plans to enhance data quality, and collaborating with ML Data Linguists and scientists to resolve ambiguities in annotation guidelines.
- What does a typical day look like for a Machine Learning Data Linguist at Amazon?
- A typical day involves collecting requirements from customers, collaborating with peers and stakeholders to complete deliverables, and identifying and recommending process improvements to enhance efficiency and output.
- What is the compensation range for the Machine Learning Data Linguist position in Boston and Seattle?
- The base salary range for this position in Boston and Seattle is $21.00 - $37.00 USD per hour. The total compensation package may also include sign-on payments and stock units.
- How can I apply for the Machine Learning Data Linguist job at Amazon and what should I highlight?
- To apply, tailor your resume to highlight your data annotation, linguistic analysis, and team leadership experience. Be prepared to discuss your analytical skills, experience with Excel and computational linguistics, and your approach to ensuring data quality.