Language Engineer, Artificial General Intelligence - Data Services

Amazon; Torino; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading tech company in Torino is looking for a Language Engineer to join its Artificial General Intelligence team. This role involves designing complex data collections and conducting data creation tasks to train and evaluate AI models. Ideal candidates should have a Master’s degree in Computational Linguistics and at least 2 years of relevant experience. Strong skills in data processing and scripting languages like Python are required along with excellent communication and organizational skills. Join a dynamic team to innovate in AI data capabilities.

Competenze

• 2+ years experience in computational linguistics or language data processing.
• Experience with language data annotation systems.
• Comfortable working in a highly collaborative environment.

Mansioni

• Design and conduct complex data creation tasks using synthetic and model-based methods.
• Analyze and extract insights from large datasets.
• Collaborate with scientists and engineers to evaluate AI model performance.

Conoscenze

Experience owning and executing language data collection projects

Proficient with scripting languages, such as Python

Excellent communication skills

Strong organizational skills

Attention to detail

Comfortable in a fast-paced work environment

Formazione

Master’s or higher degree in a relevant field (Computational Linguistics or equivalent)

Strumenti

Python

SQL

R

Matlab

Descrizione del lavoro

Language Engineer, Artificial General Intelligence - Data Services

The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections.

You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class.

Key job responsibilities

• Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables
• Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches
• Analyze and extract insights from large amounts of data
• Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language
• Use modeling tools to bootstrap or test new AI functionalities
• Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models

About the team

Amazon strives to be the world’s most customer‑centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high‑quality data development services to our customers, that enables them to build advanced ML models.

Basic Qualifications

• Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development
• Master’s or higher degree in a relevant field (Computational Linguistics or equivalent field with computational analysis)
• 2+ years experience in computational linguistics or language data processing or AI data creation
• Experience with language data annotation systems and other forms of data markup
• Proficient with scripting languages, such as Python
• Experience working with speech, text, and multimodal data in multiple languages
• Excellent communication, strong organizational skills and very detailed oriented
• Comfortable working in a fast paced, highly collaborative, dynamic work environment

Preferred Qualifications

• PhD in Computational Linguistics (or equivalent field with computational emphasis)
• Expertise in bootstrapping AI data collections for quickly evolving requirements, including for complex agentic functions
• Practical experience with Machine Learning and technical concepts such as APIs
• Practical knowledge of version control, agile development, database queries and data analysis processes (SQL, R, Matlab, etc.)
• Able to think creatively and possess strong analytical and problem solving skills

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.