Remote Computational Linguist role focused on Spanish (Spain) speech analysis, audio annotation, and AI language evaluation using linguistic and Python-based workflows.
Computational Linguist (Spanish - LATAM)
Job description
About the Role
We are seeking a Computational Linguist (Spanish - LATAM) to support advanced speech and language AI initiatives focused on audio quality assessment, linguistic analysis, and speech annotation.
This role is ideal for candidates with expertise in linguistics, speech processing, audio evaluation, and computational analysis who are comfortable collaborating closely with scientific and technical teams.
The project is fully remote and runs for 12 months with full-time availability required.
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Responsibilities
- Assess and evaluate speech quality in Spanish (LATAM)
- Categorize and annotate speech/audio data according to project specifications
- Analyze speech recordings and linguistic outputs for quality and consistency
- Collaborate daily with scientists and technical teams
- Report findings, trends, and linguistic insights
- Support speech-processing and language-evaluation workflows
- Use and adapt Python scripts for annotation and analysis tasks
- Work with command-line tools and technical workflows
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Required Qualifications
- Native or near-native proficiency in Spanish (LATAM)
- Background in:
- Linguistics
- Speech Processing
- Computational Linguistics
- Related language or AI fields
Technical Skills
- Experience using, adapting, or creating Python scripts
- Basic command-line proficiency
- Strong analytical and communication skills
- Ability to confidently evaluate speech and audio quality
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Preferred Qualifications
- Additional language proficiency
- Experience working with:
- Audio annotation
- Speech datasets
- NLP workflows
- AI language systems
- Linguistic evaluation pipelines
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Work Details
- Fully remote role
- Candidates must be located within:
- Portugal
- United Kingdom
- European Union
- 40 hours/week commitment
- Project duration: 12 months
- Start date: June
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Ideal Candidate
The ideal candidate is:
- Detail-oriented
- Comfortable working with speech/audio data
- Technically adaptable
- Strong in linguistic analysis
- Able to collaborate in research-focused environments
You will be redirected to the company's website to complete your application.