Slovenian NLU | Remote Position

Datavio

United States

A distancia

USD 34.000 - 69.000

Jornada completa

14 días+

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Descripción de la vacante

Datavio is seeking Slovenian language specialists to contribute to grammar development and data annotation for Automotive NLU solutions. You will work on extending resources, correcting annotated data, and training resources for ML models while collaborating in an international environment.

The role is freelance with approximately 30 hours per week, ideally aligned to North American or European business hours.

Formación

  • Bachelor's or master's degree in a relevant technical field (CS/Engineering/Statistics/Computational Linguistics).
  • Slovenian speaker.
  • Solid Unix skills (bash).
  • Good understanding of ML, DL, and LLMs.
  • Regular expressions and a scripting language (Python or Perl).
  • Familiarity with version-control software (git, svn).
  • Fluency in English (written and oral).
  • Self-learner with initiative and perseverance.

Responsabilidades

  • Revision and extension of resources for Speech Recognition software.
  • Development of grammars for Natural Language Understanding.
  • (Re)Training of Machine Learning models for NLU, including evaluation and error analysis.
  • Text manipulation and data processing.
  • Localization of data, online surveys, etc. into the respective language.

Conocimientos

Slovenian speaker
Fluent English
Regular expressions
Python or Perl scripting
Unix bash
Git
Self-motivated

Educación

Bachelor's or Master's in CS/Engineering/Statistics/Computational Linguistics

Herramientas

Unix
Python
Perl
Git
SVN

Descripción del empleo

Our NLU team is looking for Slovenian speakers. Language specialists will work on grammar development and data annotation to train statistical models for Automotive NLU solutions. We are looking for language specialists with a background in linguistics, Speech Recognition, or Computational Linguistics. General computer skills are required for text editing, annotation, and grammar writing.

Description:

Our Natural Language Understanding (NLU) Department is currently seeking freelance computer scientists or computational linguists to extend and improve the NLU system for their respective languages. Candidates should be available for 30 hours per week, ideally during North American (English and Portuguese) or European business hours (other languages). Our Machine-Learning-based NLU systems are AI (Artificial Intelligence) components integrated into products used by millions of people worldwide. The work will involve developing grammars and lexical resources, correcting annotated data, and making other system adjustments.

What you will do
  • Revision and extension of resources to be used for Speech Recognition software
  • Development of grammars for Natural Language Understanding
  • (Re)Training of Machine Learning models for NLU, including evaluation and error analysis
  • Text manipulation and data processing
  • Localization of data, online surveys, etc. into the respective language
Requirements
  • Bachelor's or Master's in Computer Science, Engineering, Statistics, Computational Linguistics, or other relevant technical field
  • Slovenian speaker
  • Solid Unix skills (bash)
  • Good understanding of machine learning, deep learning, and LLMs
  • Sound knowledge of regular expressions and a scripting language such as Python or Perl
  • Familiarity with version-control software (git, svn)
  • Fluency in English (written and oral)
  • Self-learner, with a sense of initiative and perseverance to deliver high-quality work.
Conditions
  • Suitable training in interesting NLU projects
  • Adequate compensation
  • Flexible working hours
  • Great team in an international working environment
  • *Please note that you must complete a short NLU challenge. We will not review applications without this challenge. Only selected candidates will be contacted. Thank you for your understanding!

Datavio does not publish its pay rates or the company behind the portal, so confirm the rate and payment terms before you start work.

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