Amazon-posted about 1 year ago
$67,700 - $151,400/Yr
Full-time • Mid Level
Pasadena, CA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

The Language Engineer II position at Amazon Transcribe involves developing solutions for natural language data collections within the Amazon Web Services (AWS) framework. The role focuses on engineering datasets critical for GenAI services, impacting various products that support multiple languages. The position requires collaboration with diverse teams to strategize data collection, improve annotation processes, and optimize data for machine learning models.

  • Source, validate, and deliver high-quality language artifacts and linguistic data.
  • Collaborate with stakeholders to design and oversee data collection and development efforts.
  • Innovate on data collection methodologies, guidelines, and quality metrics to support new requests.
  • Extend existing data collection and annotation efforts to support feature and language expansion.
  • Automate repetitive workflows and improve existing processes.
  • PhD in Computational Linguistics, Linguistics with a computational component, or an equivalent field; alternatively, MA with 3+ years of experience.
  • Excellent knowledge of semantics, pragmatics, conversation analysis, and/or discourse analysis.
  • Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development.
  • Proficiency in Python and other analytics tools such as R to process and analyze language data.
  • Experience in developing and evaluating data annotation and data quality metrics.
  • Ability to explain complex concepts and solutions in easy-to-understand terms.
  • Experience building ontologies, taxonomies, and other semantic relation frameworks.
  • Practical knowledge of version control systems such as GitHub.
  • Comprehensive health insurance coverage
  • 401(k) retirement savings plan
  • Flexible work hours and work-life balance
  • Mentorship and career growth opportunities
  • Diversity and inclusion programs
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