26.3237, Jobs: Computational Linguistics; General Linguistics; Text/Corpus Linguistics: Data Specialist, Amazon.com Inc.

Thu Jul 9 16:13:59 UTC 2015

LINGUIST List: Vol-26-3237. Thu Jul 09 2015. ISSN: 1069 - 4875.

Subject: 26.3237, Jobs: Computational Linguistics; General Linguistics; Text/Corpus Linguistics: Data Specialist, Amazon.com Inc.

Moderators: linguist at linguistlist.org (Damir Cavar, Malgorzata E. Cavar)
Reviews: reviews at linguistlist.org (Anthony Aristar, Helen Aristar-Dry, Sara Couture)
Homepage: http://linguistlist.org

*****************    LINGUIST List Support    *****************
Please support the LL editors and operation with a donation at:
              http://funddrive.linguistlist.org/donate/

Editor for this issue: Andrew Lamont <alamont at linguistlist.org>
================================================================

Date: Thu, 09 Jul 2015 12:13:48
From: Janet Slifka [slifka at amazon.com]
Subject: Computational Linguistics; General Linguistics; Text/Corpus Linguistics: Data Specialist, Amazon.com Inc., Massachusetts, USA

University or Organization: Amazon.com Inc. 
Job Location: Massachusetts, USA 
Job Title: Data Specialist, Speech and Language
Job Rank: Manager; Researcher

Specialty Areas: Computational Linguistics; General Linguistics; Text/Corpus Linguistics 

Description:

Interested in Amazon Echo? Come work on it. We’re building the speech and language solutions behind Amazon Echo and other Amazon products and services. We’re working hard, having fun, and making history; come join us!

Amazon is seeking a Data Specialist to join our data team as a leader and a domain expert. This role focuses on speech transcription, text annotation, and general data analysis deliverables. The Data Specialist will become an expert in the transcription and annotation processes, lead a team of skilled annotators, maintain and monitor accuracy and throughput standards, and be a key member in developing new conventions and forms of markup and annotation. In addition, the Data Specialist will be asked to handle unique data analysis requests that support the overall processing of a data collection and analysis team.

The Data Specialist must have a passion for data, efficiency, and accuracy. Specifically, the Data Specialist will:

- Lead a team of 10 to 20 annotators
- Be responsible for interviewing, training and motivating employees; planning, assigning and directing work; and effective conflict resolution.
- Set the standard for efficiency and accuracy among the team
- Assist in troubleshooting and resolving technical and logistical issues from the team
- Lead and evaluate changing annotation conventions, test tooling developments, and pilot processes to support expansion to new data areas
- Continuously evaluate annotation tools and processes and offer solutions to ensure they are efficient, high quality, and scalable
- Handle unique data analysis requests from a range of data customers.

This position is located in the Boston/Cambridge area.

Qualifications

- Bachelor’s or Master’s degree in a relevant field
- Excellent proficiency in US English
- Comfortable working with speech from various dialects and accents
- Experience taking a lead role on large, fast-moving projects
- Excellent communication, strong organizational skills and very detail oriented
- Strong technical and analytical aptitude

Preferred Qualifications

- PhD in a relevant field
- Experience with Linux, query languages, scripting languages
- Experience working with speech or language data, including experience with annotation and other forms of data markup
- Practical knowledge of data processing needs and trade-offs
- Exceptional level of organization
- Fluency in a foreign language a plus

Application Deadline: 31-Oct-2015 (Open until filled)

Web Address for Applications: http://www.amazon.jobs/jobs/307369/data-specialist-manager 
Contact Information:
	Janet Slifka 
	Email: slifka at amazon.com 

----------------------------------------------------------
LINGUIST List: Vol-26-3237	
----------------------------------------------------------
Visit LL's Multitree project for over 1000 trees dynamically generated
from scholarly hypotheses about language relationships:
          http://multitree.org/