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Bilingual, Language Processing, Spanish, English




Appen is looking for bilingual, independent contractor linguists to annotate data for our client’s Natural Language Processing systems. This is an ideal position for graduate students or anyone looking for flexible work; the roles are remote and part-time at 20 hrs weekly. The project is expected to continue through the calendar year.

You know that language data is the underpinning of all current language technologies. You love practical language analysis as well as theoretical. You’re quick to learn and implement new label sets with a consideration for the purpose of the data. You’re willing and able to spend several hours a day focusing on your task, with consistent results and are a native level speaker of either US Spanish or a variety of Spanish spoken in Latin America.

Project Details:

Work location: USA, telecommute

Hours: 20 weekly

Project duration: 2019 calendar year

The successful contractor linguist will be engaged in the following responsibilities:

* Annotate language data with linguistic information

* Implement annotation conventions and guidelines with accuracy and consistency

* Communicate with other annotators about effective annotation strategies

* Contribute to the improvement of tools and processes by raising issues and suggesting improvements

* Understand and adapt to changing requirements


* Bachelor’s degree in Linguistics, Computational Linguistics, Language Technologies, or related field

* Interest in practical as well as theoretical linguistics, especially syntax, semantics, and pragmatics

* Facility with computers and software applications

* Ability to adapt to changing requirements, priorities, and revisions

* Cooperative, solution-oriented attitude

* Eagerness to learn new skills and work quickly

* Enthusiasm for detail work

* Ability to focus for significant portions of the work day

* Strong problem solving and analytical skills

* Native speaker of US English as well as US or Latin American Spanish

Preferred Qualifications

* Advanced degree and/or industry experience

* Annotation experience

* Experience with ontologies and label sets

* Experience working remotely

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