EXPERT COURSE

AI Training for Linguists:
Focus on Audio Evaluation

AI-Driven Career Opportunities for Linguists

In today’s rapidly evolving language industry, generative AI is creating new professional roles and career pathways for translators and linguists.

From AI training and evaluation to human-in-the-loop quality assurance, language professionals are increasingly needed in roles where linguistic expertise, cultural competence, and critical judgement are essential.

Industry reports show a growing demand for specialists who can bridge language knowledge and AI systems, opening new opportunities beyond traditional translation and localization work.

According to LinkedIn News’ 2026 Jobs on the Rise report, Data Annotator is among the fastest-growing jobs in the United States. Data annotators label and review data using detailed guidelines and quality checks to ensure accurate datasets for AI training, and multilingual experts play a crucial role in this process.

From Theory to Hands-On Practice

This course helps linguists understand the technology behind generative AI and LLMs, and gain practical skills in AI audio evaluation and quality assessment, where human judgement is essential to preserve meaning, cultural nuance, and linguistic accuracy.

By combining theory with hands-on practice, participants will enhance their professional knowledge and skill, and build the foundations needed to critically evaluate and engage with AI systems.

Conditions: Please read our course and subscription plans terms and conditions carefully. With your registration, you confirm that you have read, understood and accepted our conditions and agree with them. 

If you have any questions, please visit the FAQ section (for courses or subscription plans) or get in touch with us.

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  • This webinar includes:
  •    Expert panellist: Francesca Cascone, AI Data Trainer - Audio Evaluation Specialist
  •     Live activities
  •  Lifetime access to the course and extra contents
  •  In English
  •  Certificate of completion
  •  Course duration: 4 h (approximately)
  •  When: 12 and 13 March 2026 (16.00 CET)
  • Downloadable course program

AI Training for Linguists

Learn Generative AI and LLM basics for linguists, audio evaluation theory,
live demo, interactive practice and AI training workflows.

Module 1 - Introduction to AI Training
Module 2 - Audio Evaluation
MODULE 1

Introduction to
AI Training

Module 1

1. Generative AI & LLM Overview
1.1 What generative AI is
1.2 How Large Language Models (LLMs) work
1.3 Training vs fine-tuning vs evaluation
1.4 Where human feedback fits in
1.5 Limitations, risks, and ethical aspects

2. Introduction to AI Training
2.1 What AI training is
2.2 Why linguistic expertise matters in AI systems
2.3 Roles of language professionals in AI pipelines
2.4 Types of AI training tasks (text, audio, multimodal)
2.5 Quality, bias, and model reliability

3. AI Audio Evaluation: Theory
3.1 What AI audio evaluation is
3.2 Types of audio data
3.3 Core evaluation dimensions: Accuracy, Naturalness, Guideline compliance, Consistency
3.4 Common error patterns
3.5 Quality assurance logic in audio evaluation
MODULE 2

Audio Evaluation

Module 2

1. Live Demonstration: Audio Evaluation
1.1 Explanation of task structure
1.2 Walkthrough of guidelines
1.3 Live evaluation of sample audio clips
1.4 Reasoning process and decision-making logic
1.5 Handling ambiguous and borderline cases

2. Interactive Session
2.1 Participant evaluation of audio samples
2.2 Comparison of results
2.3 Alignment on evaluation criteria
2.4 Instructions for offline activity

3. Wrap-up & Closing
3.1 Key takeaways
3.2 Professional opportunities in AI training

Course and tutor description

This course explores the role of language professionals in AI training, with a specific focus on audio evaluation. Participants will first gain an introduction to generative AI and large language models (LLMs), followed by an overview of AI training processes, with particular attention to audio evaluation.

The course will then examine real evaluation criteria, common edge cases, and the key challenges involved in assessing spoken data. The session will conclude with a hands-on exercise designed to reflect real-world AI training tasks and decision-making processes.

The course is delivered by Francesca Cascone, AI Content Analyst and AI Data Trainer, specializing in audio evaluation. With a background in localization and a strong passion for communication, linguistics, and emerging technologies, she transitioned into AI training in 2025, bringing her Italian linguistic expertise into the AI field. Through practical examples and hands-on activities, she will guide participants through real evaluation processes and feedback systems used to support the development of AI voice technologies.

Who is this course for?

This course is designed for language professionals (linguists, translators, and localization specialists) who want to:
- deepen their understanding of generative AI and LLMs, 
- explore a transition into AI-related roles, with a specific focus on audio evaluation. 

No prior experience is required, just curiosity and a willingness to experiment. 

Resources

Linguistic skills:
  • A good English level is required.

IT resources:
  • A computer with speakers as well as a stable internet connection are necessary

Availability:
  • Life access to the recording of the course and extra contents when you acquire your place.
Meet

Francesca Cascone

With a BA in English Language and an MA in Comparative Literature and Culture, Francesca began her career as a freelance translator in 2008, working from English into Italian.

From 2011 to 2025, she was part of the in-house localization team at Booking.com, where she contributed to shaping the Italian voice of the brand for the local market. For over 18 years, language, nuance, and cultural context have been central to her professional work.

Driven by a growing interest in generative AI and large language models (LLMs), she transitioned into AI training in 2025, bringing her linguistic expertise into a new field.

She currently works as an AI Content Analyst and AI Data Trainer, specializing in audio evaluation. To further strengthen her data and analytical skills, she is currently attending a Master’s program in Data Analytics.
Francesca Cascone - Course host
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