DESCRIPTION
Job summary
Amazon Web Services (AWS) is looking for a Machine Learning Data Linguist to join the AI Data team. This role focuses on text annotation and data collection. You will join a growing team of professional linguists. You will apply your analytic skills to help develop the high-quality language data needed to train innovative models in Machine Learning. The successful candidate must have a background in linguistics or localization, experience with language analysis, and a passion for efficiency and accuracy.
Key job responsibilities
* Build a thorough understanding of annotation guidelines and annotation tools
* Annotate natural language data accurately within deadlines, adhering to guidelines
* Dive deep into the data to perform qualitative error trend analysis
* Collect and organize data according to criteria
* Handle unique data collection and analysis requests for different NLP/NLU applications
* Collaborate with other ML Data Linguists to resolve data ambiguities and annotation disagreements
* Provide feedback to Language Engineers on annotation guidelines, tooling, and processes to drive improvements
A day in the life
The AI Data Team at AWS is responsible for delivering high-quality annotated data and a variety of language artifacts to ensure the best performance of different AWS machine-learning language services. These ML-based language services enable customers to readily add intelligence to their business operations and AI applications to drive positive
BASIC QUALIFICATIONS
* Bachelor's degree in Linguistics, Speech Processing, Communication, Cognitive Science, or a related field, with some background in syntax, semantics and pragmatics
* 1+ years of experience with natural language data labelling and other forms of data markup
* Ability to strictly adhere to annotation guidelines, think abstractly about language, and identify basic parts of speech
* Ability to interpret quality metrics and understand basic statistics
* Excellent communication and strong organizational skills with a keen eye for details
* Comfortable working in a fast-paced, highly collaborative, and dynamic work environment
PREFERRED QUALIFICATIONS
* Advanced or native proficiency in Spanish, French, German, Portuguese, Italian, Korean, or another foreign language
* Ability to quickly learn new guidelines, technical concepts, and softwares
* Flexibility to work in different operating systems (Windows, MacOS, or Linux) and collaborative productivity tools
* Working knowledge of a variety of file formats and mark up languages (e.g. JSON, XML, HTML)
* Familiarity with command line interfaces and basic Unix commands
* Familiarity/experience using annotation tools
* Willingness to support several projects at one time, and to accept reprioritization as necessary
*The pay range for this position in Colorado is $63,600 yr.; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.