Senior Computational Linguist

ThirstySprout • Seattle, WA

9d

About The Position

Linguists will help build out the NLU workflows and workstreams required by defining and delivering data annotation pipelines, annotation guidelines, golden datasets, training datasets, evaluation criteria, process improvements, upskilling programs, etc. You would be working on the following work streams: language modeling building test and evaluation training sets evaluation and analysis of product features rules engine, tweaking the engine for the model outputs triage multimodal features, chatbot experiences, packing the AI into glasses The role of the computational linguist is to help develop and improve our client’s NLP/NLU systems. Tasks may include but are not limited to: Annotating and reviewing linguistic data – part of speech annotation, semantic annotation, phonetic transcription Collect data and perform data analysis Labeling text for disambiguation, and (inverse) text normalization Evaluating current system outputs, detecting incidental and systemic errors and providing solutions Translation and localization tasks Creating and evaluating training and test sets Prompt engineering

Requirements

• Native speaker of the target language and fluent in English
• Experience in using, adapting and creating scripts in Python
• Knowledge of relational databases and using, adapting and creating SQL queries
• Experience in annotation work
• Knowledge of semantics, syntax, morphology or lexicography
• Excellent oral and written communication skills
• Attention to detail and good organizational skills
• Be able to work independently with confidence and little oversight

Nice To Haves

• Degree in Linguistics or Computational Linguistics, or a degree in computer science with a minor in linguistics
• Ability to quickly grasp technical concepts; learn in-house tools

Responsibilities

• Annotating and reviewing linguistic data – part of speech annotation, semantic annotation, phonetic transcription
• Collect data and perform data analysis
• Labeling text for disambiguation, and (inverse) text normalization
• Evaluating current system outputs, detecting incidental and systemic errors and providing solutions
• Translation and localization tasks
• Creating and evaluating training and test sets
• Prompt engineering

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed