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
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
Desired Skills:
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
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