Language Engineer II, Amazon Transcribe
Description For Language Engineer II, Amazon Transcribe
Amazon Web Services (AWS) is seeking a Language Engineer II to join their Amazon Transcribe Data Team. This role focuses on developing solutions for natural language data collections and is crucial to the success of GenAI services. The position offers an opportunity to work with a diverse team of language engineers, linguists, data scientists, and program managers.
The role involves diving deep into high-profile projects to launch new product offerings, consulting with stakeholders, and improving processes for annotating transcribed conversations. You'll apply data-centric AI principles to understand model performance and ML pipelines, while using state-of-the-art ML and NLP techniques to analyze language representation.
As part of AWS Utility Computing, you'll contribute to foundational services like S3 and EC2, working in a customer-obsessed environment that values quality and integrity. The team emphasizes inclusive culture, offering mentorship opportunities and fostering work-life harmony. AWS values diverse experiences and welcomes candidates from non-traditional backgrounds.
The position requires expertise in computational linguistics, strong Python skills, and experience with data collection projects. You'll work collaboratively with various teams, innovate on methodologies, and drive automation of workflows. This is an excellent opportunity for someone passionate about language engineering and AI, looking to make an impact at a global scale.
Responsibilities For Language Engineer II, Amazon Transcribe
- 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, quality metrics
- Extend existing data collection and annotation efforts
- Automate repetitive workflows and improve existing processes
Requirements For Language Engineer II, Amazon Transcribe
- PhD or Masters in Computational Linguistics, Linguistics with a computational component, or equivalent field
- Excellent knowledge of semantics, pragmatics, conversation analysis, and/or discourse analysis
- Experience owning and executing language data collection projects
- Proficiency in Python and other analytics tools such as R
- Experience in developing and evaluating data annotation and data quality metrics
Benefits For Language Engineer II, Amazon Transcribe
- Work-life balance
- Career development opportunities
- Mentorship programs
- Inclusive team culture
- Employee-led affinity groups
