Spanish MT Language Specialist M300 -San Jose, CA

 

This person will work with the Latin American Spanish MTLS, for all MT linguistic work pertaining to the Latin American e-commerce site.

Primary Responsibilities:
– Provide Latin American Spanish-specific linguistic services, including:
• Reviewing human-translated and post-edited content to deliver high-quality training data for our MT engines
• Evaluating MT systems’ output (rating, ranking vs other systems)
• Analyzing MT systems’ output to detect error patterns
– Provide assistance in other linguistic areas, such as:
• Semantic annotation (e.g. Named Entity Recognition – English)
• Quality assurance of automatically-generated content (English)

Education and/or Relevant Experience:
• BA or MA in Linguistics / Translation Studies
• 2/3 years of localization experience and/or evaluating machine translation output
• Experience in semantic annotation, POS annotation, and machine learning QA highly valued
• Must be born and raised in a Latin American country (i.e. not in Spain nor in the USA)
• Native fluency in Latin American Spanish and a deep understanding of Latin American culture
• Strong familiarity with the Machine Translation industry and best practices for post-editing/reviewing
• Strong familiarity with translation technologies and localization and processes

Skills:
• Analytical mind: This position requires the capacity to detect patterns in highly varied and ambiguous data.
• Critical thinking: you should enjoy questioning assumptions and re-examining processes.
• Problem-solving: You should enjoy brainstorming and applying logic to solve new problems.

Day to day tasks:
-Evaluate machine learning systems
-Will work with scientists to review errors in translation and provide input to the correct translation
-Will work with translation services if needed to review/edit content
-Partner with semantics team to help improve search content

For more information contact Jeanne jsharpe@anzuglobal.com

If this is not what you are looking for maybe you could refer a colleague.  We offer a referral bonus if your colleague is hired.