Computational Linguist (Portuguese)

TL;DR

Computational Linguist (Portuguese): Analyzing and interpreting linguistic and phonological data for AI language systems with an accent on data analysis, annotation, and scripting. Focus on running quality checks, refining evaluation metrics, and supporting dataset creation for machine learning workflows.

Location: Remote from Portugal or Brazil

Company

hirify.global is a leader in AI training data, providing high-quality, diverse datasets that power the world's leading AI models for over 25 years.

What you will do

• Analyze and interpret linguistic and phonological data using internal tools and scripts.
• Perform automated and manual quality checks on model outputs and provide data-driven insights.
• Review and annotate Portuguese 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 Portuguese 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.

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).

Culture & Benefits

• Culture of innovation, collaboration, and excellence.
• Flexible work arrangements and a dynamic, results-driven environment.
• Competitive pay and comprehensive benefits.
• Opportunities for continuous learning and career growth.
• Work closely with the world’s top technology companies and enterprises.