USA Africa Dialogue Series - Google Language Expert/Data Evaluator and Language Expert Engineer Job Descriptions

Google Language Expert/Data Evaluator and Language Expert Engineer Job Descriptions

Please contact jeanne.sharpe@anzuglobal.com for more information

 

• Positions are based in Mountain View, CA.

 

• Interested candidates may want to consider relocating to the Mountain View area if commuting from their home is not possible

 

• Assignments are 3 to 6 months long with a 40 hour work week

 

 

Languages: Amharic, Hausa, Kinyarwanda, Somali, Wolof, Xhosa, Yoruba and Zulu.

 

1. As a Language Expert/Data Evaluator and a native speaker of one of the target languages, you will be part of a team based in Mountain View (CA), processing large amounts of linguistic data and carrying out a number of tasks to improve the quality of Google's machine translation technology in your own language.

 

This includes:

• Evaluating, annotating and classifying linguistic data;
• Labeling text for disambiguation, expansion and text normalization;
  
  

Job Requirements

• Native speaker of one of the target languages (with good command of the stander dialect and good knowledge of orthography and grammar) and fluent in English;
• Computer-literate (should feel comfortable using in-house tools);
• Attention to detail;
• Passion for languages and a keen interest in technology;
• Good organizational skills;
  
• A degree in a language-related field such as linguistics, language teaching, translation, editing, writing, proofreading, or similar is a plus. 
  
  

2. Language Expert Engineer will manage projects' tasks related to automatic processing of natural language text in one of the target languages (see languages above)

 

This includes:

• Evaluating, annotating and classifying linguistic data;
• Writing scripts to collect and process data; improving existing product infrastructure.
• Fluent speaking and writing skills in one of the target languages listed above and proficient in English;
• Computer science undergraduate or equivalent experience;
• Proficiency in programming in Python, Perl, or C++;
• Passion for language and a keen interest in technology;
• Good knowledge of orthography and grammar in the target language;
• Background in data mining a plus;
• Ability to quickly grasp technical concepts;
• Excellent verbal and written communicator