Description

*JOB SUMMARY*

As a Language Engineer, you will implement data collection and annotation strategy, with a focus on iterative analysis, quality, and efficiency. You will use your hands-on data analytics skills and knowledge of machine learning techniques to ensure that datasets are optimized for model performance.


 

MAJOR RESPONSIBILITIES

* Manage large amounts of linguistic data

* Apply best practices for data collection and data annotation

* Develop scripts and tools to automate data processing and handling

* Analyze quality control metrics for data collection and data annotation

* Collaborate with other Language Engineers and stakeholders

* Use existing language processing tools to bootstrap and process data

* Annotate data according to guidelines


 


 

Required Skills:

  • Native or advanced proficiency in French or German
  • Master’s degree in Linguistics, Computational Linguistics, or other language or data-related disciplines**
  • Two years experience in linguistics or NLP**
  • Ability to think about and analyze language abstractly
  • Proficiency in scripting, querying and/or analytics tools, such as SQL, Python, R, or similar
  • Experience with language data analysis and data annotation
  • Experience in developing and evaluating data annotation metrics and guidelines
  • Comfortable working in a fast paced, highly collaborative and dynamic work environment
  • Okay if experience in PHD’s

Key Skills
Education

Any Graduate