Descripción de la oferta
About the role
Verbio by Capacity is hiring a Junior Computational Linguist to join the Capacity delivery team. This role involves developing and deploying advanced voice solutions within a fast-paced, multidisciplinary environment.
The core focus is on ensuring the linguistic quality and robustness of our voice-enabled products, particularly for the Spanish and LATAM markets, so Spanish language is a must for the position. The successful candidate will address dialectal variations, linguistic/acoustic challenges and NLU problems to deliver culturally appropriate solutions to millions of users.
Obtenga más información sobre este puesto leyendo los detalles a continuación y luego envíe su solicitud para ser considerado.
Key responsibilities will include:
Data Annotation and Curation: Processing, cleaning, and annotating large datasets of linguistic data to train and test our Natural Language Processing (NLP) and Automatic Speech Recognition (ASR) models.
Model Evaluation: Rigorously evaluating the performance of ASR and NLU (Natural Language Understanding) models, identifying linguistic errors, and pinpointing areas for improvement.
Lexicon and Grammar Development: Assisting in the maintenance and expansion of language-specific lexicons, grammars, and language models for specific project needs.
Cross-functional Collaboration: Providing linguistic insights and support to engineers and project managers to ensure projects' success.
Focus on Spanish and LATAM Markets: Leverage specialized linguistic expertise in Spanish, including various LATAM dialects and co-official languages from Spain, to guarantee product accuracy and optimize user satisfaction within these critical markets.
We most definitely want you if...
We are seeking a highly motivated individual with a strong background in Linguistics and a passion for technology to join our team.
What We're Looking For:
A quick learner who thrives in multidisciplinary, intercultural environments.
Interest in language technologies, specifically for the Spanish and LATAM markets.
Beneficial Experience:
Prior experience with NLU (Natural Language Understanding) and ASR (Automatic Speech Recognition) projects.
Familiarity with a Linux environment.
Previous experience with chatbots and AI agents.
Experience using AI tools for linguistic tasks and programming skills.
This experience will allow you to quickly accelerate your contribution to the team.
You will…
Analyze, review, and prepare large text corpora for language technology product development, with a focus on Spanish-speaking regions (Spain and LATAM).
Support computational linguists and engineers in making technical decisions related to data preparation and processing for new products.
Contribute to the development, testing, and maintenance of linguistic resources such as grammars, models, and dictionaries.
Collaborate in the deployment and quality assurance of new language models.
Apply expertise in computational linguistics to enhance product performance across different language and dialect variations.
What you will do in your first 3 months (List of main tasks)
Analyzing and preparing language data for product development, focusing on the needs of Spain and LATAM projects.
Support Computational Linguists and Engineers with your linguistic expertise to make proper decisions for product development.
Review and improve existing linguistic resources (dictionaries, grammars, and models) relevant to ongoing projects.
Learn the day-to-day work tools and procedures.
Skills and Experience [MANDATORY AND MUST skills & experience]
Master in Linguistics or Computational Linguistics.
Spanish: native
English (B2 or higher).
Experience working with large text corpora.
Familiarity with Linux-based systems.
Strong organizational skills, reliability, and can-do attitude.
Team spirit, responsiveness, flexibility, and proactivity.
Capacity and willingness to learn and face new professional challenges.
Nice to have [Nice to have and plus skills, not mandatory]
Additional languages (not English, English is mandatory for the job).
Some experience in Python programming.
Experience working in Linux and programming in Bash.
Experience with other programming languages (Go, C++, Rust...).
Experience using Docker.
Experience in prompt engineering.
Experience configuring chatbots and AI agents.
Experience in AI programming.
Knowledge on regular expressions.
Some knowledge on data analytics.
Background on phonetics. xiphteb
Background on semantics.
