TTS Linguist Support Specialist (Italian/Spanish/PT-BR)

Cpl Group; Dublin; Hybrid; EUR 42,000 - 62,000; Full time

Benefits offered by this job

Internal career progression

Fully subsidised healthcare

25 days of annual leave

Employee assistance programme (EAP)

PRSA Scheme

Extensive Training & Development

Annual company get-togethers and staff

Bike to work scheme

Free parking on-site

Job summary

Cpl Group is seeking a detail-oriented Support Linguist for Text-to-Speech to enhance language-specific TTS quality. You will evaluate linguistic and audio outputs, and contribute to text normalization and pronunciation datasets in a multilingual context.

Proficiency with Pandas, regex, and Python will support data analysis tasks. This hybrid role combines onsite training in Sandyford with remote work, aligning with language-focused technology projects.

Qualifications

• Degree in Linguistics or IPA knowledge required.
• Native or near-native speaker of Italian, Spanish, or Portuguese-Brazilian with fluent English (C1).
• Experience with Pandas, Regex and Python for data/text processing.
• Strong linguistic and analytical capabilities.
• Experience in speech technologies is advantageous.

Responsibilities

• Evaluate linguistic and audio quality of Text-to-Speech outputs.
• Support improvements in the TTS pipeline including text normalization and pronunciation prediction.
• Identify language-specific challenges and propose test scenarios to evaluate them.
• Perform data quality checks and contribute to linguistic datasets improvements.
• Analyse text and linguistic datasets to identify patterns and errors.
• Use data-processing techniques including Pandas and Regex to analyse linguistic data.

Skills

Pandas

Regex

Python

Linguistics knowledge

Attention to detail

Analytical thinking

Communication skills

Education

Degree in Linguistics

Tools

Linux

Job description

Cpl Group is seeking a detail-oriented Support Linguist for Text-to-Speech to enhance language-specific TTS quality. You will evaluate linguistic and audio outputs, and contribute to text normalization and pronunciation datasets in a multilingual context.

Proficiency with Pandas, regex, and Python will support data analysis tasks. This hybrid role combines onsite training in Sandyford with remote work, aligning with language-focused technology projects.