# Linguistic Data Analyst / AI Linguistic Specialist- Diplomatic Domain (STT AI)

**Company:** [Master-Works](http://jobs.workable.com/companies/92Fe7BmJELjDwQg6iUJrrE.md)
**Location:** Riyadh, Saudi Arabia
**Workplace:** hybrid
**Employment type:** Contract
**Department:** Nabeh Company

[Apply for this job](http://jobs.workable.com/view/d451a109-9c25-4405-aaba-7879ff36609f)

## Description

### Role Purpose

Our subsidiary, Nabeh, is seeking a Linguistic Data Analyst who will be responsible for collecting, analyzing, organizing, and cleaning multilingual conversational data, with a strong focus on diplomatic and formal terminology, to prepare high-quality datasets for training Speech-to-Text (STT) AI models.

This role is critical in ensuring linguistic accuracy, terminology consistency, and data readiness for AI model development, particularly within government, diplomatic, and formal communication domains.

### Key Responsibilities

Linguistic Data Collection:  
\- Collect and curate conversational audio and text data (meetings, interviews, speeches).  
\- Work with multilingual datasets, primarily Arabic and English.  
\- Ensure compliance with privacy and data governance standards.  
  
Data Cleaning & Structuring:  
\- Clean datasets by removing noise, duplication, and inconsistencies.  
\- Normalize formal and semi-formal language usage.  
\- Organize data by speaker, context, and formality.  
  
Linguistic & Terminology Analysis:  
\- Extract and standardize diplomatic and official terminology.  
\- Build and maintain a diplomatic glossary.  
  
AI Training Data Preparation:  
\- Prepare AI-ready datasets with timestamps and metadata.  
\- Support annotation teams with linguistic guidelines.  
  
Collaboration & Documentation:  
\- Work with AI Engineers, Data Scientists and PMs.  
\- Document standards and methodologies.

## Requirements

### Required Qualifications

Education:  
\- Bachelor’s degree in Linguistics, Translation, Arabic/English Studies, or related field.  
  
Core Skills:  
\- Strong linguistic analysis skills.  
\- Experience with conversational or textual datasets.  
\- High attention to detail.  
  
Technical Skills (Preferred):  
\- Familiarity with STT and NLP concepts.  
\- Experience with data annotation workflows.  
  
Languages:  
\- Arabic: Fluent (mandatory)  
\- English: Fluent (mandatory)  
\- Additional languages are a plus.