This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are looking for a Computational Linguist (Spanish) with a strong background in linguistics and hands-on experience in data analysis, annotation, and scripting. This role bridges linguistic quality and technical implementation, supporting the evaluation and improvement of AI language systems.
Job Responsibility:
Analyze and interpret linguistic and phonological data using internal tools and scripts
Run automated and manual quality checks on model outputs
provide data-driven insights
Review and annotate Spanish content for linguistic accuracy, cultural nuance, and consistency
Support dataset creation, cleaning, and formatting for machine learning workflows
Collaborate with technical teams to refine evaluation metrics and data pipelines
Document linguistic findings and create reproducible analysis reports
Requirements:
Native speaker of Spanish with strong command of English
Bachelor’s or Master’s degree in Linguistics, Computational Linguistics, Cognitive Science, or similar
Understanding of phonetics, phonology, syntax, and semantics
Comfortable working with structured data formats (JSON, XML, CSV)
Familiarity with Python, command line interfaces (CLI), or Unix environments
Strong analytical mindset and attention to linguistic detail
Ability to work independently and meet deadlines in a data-driven environment
Nice to have:
Experience with linguistic annotation or dataset processing for AI/NLP projects
Knowledge of machine learning workflows, text-to-speech (TTS), or NLP model evaluation
Experience with Python libraries (pandas, NumPy) or toolkits (NLTK, spaCy)
Prior experience in companies like Appen is a plus
MSc in Computational Linguistics or Speech and Language Processing preferred
What we offer:
Flexible work arrangements
Competitive pay
Comprehensive benefits
Opportunities for continuous learning and career growth