Machine Learning Data Linguist I

icon building Company : Amazon
icon briefcase Job Type : Full Time

Number of Applicants

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000+

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Job Description - Machine Learning Data Linguist I

DESCRIPTION

We are looking for an Data Associate with experience in Linguistic Services for a six month fixed temporary role in our Boston Location.

In this Data Associate role, you’re comfortable with, and understand, the changes to the guidelines deployed in response to internal customers’ requests. You demonstrate the ability to adjust your workflows accordingly, and you prioritize strict compliance with regulatory requirements.

Key job responsibilities
In this role, you will:
* Build a thorough understanding of labeling guidelines and provide support to global sites.
* Deliver high quality data output within deadlines.
* Work autonomously with minimum direction.
* Handle unique data analysis requests from a wide range of internal customers. Contribute to process improvements to reduce handling time and improve data output.
* Dive deep into issues and implement solutions independently.
* Provide quality expertise to other team members and coaching improvements

We are open to hiring candidates to work out of one of the following locations:

Boston, MA, USA

BASIC QUALIFICATIONS

* BA or BS Degree
* Experience with phonemic transcription in the International Phonetic Alphabet (IPA) and/or X-SAMPA.
* Native level fluency in English.

PREFERRED QUALIFICATIONS

* Experience with command line tools.
* Experience working with interaction data, including experience with annotation and other forms of data markup.
* Practical knowledge of data processing needs and trade-offs.
* Comfortable working with speech from various dialects and accents.
* Willing to work with audio content (wearing headsets) for a portion of the day.
* Comfortable working in a fast paced, highly collaborative, dynamic work environment.
* Capable of working in strict compliance with internal guidelines.
* Ability to quickly grasp technical concepts and learn in-house user-interface tools.
* Strong research skills.
* Willingness to support several projects at one time, and to accept re-prioritization as necessary.

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.

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