Language Engineer, Artificial General Intelligence - Data Services

Amazon; Greater London; On-site; GBP 40,000 - 55,000; Full time

Job summary

A leading tech company is seeking a Language Engineer to join their innovative team in London. The role involves designing complex data collections, conducting synthetic data generation, and collaborating with cross-functional teams to advance AI models. Candidates need a Master's degree in Computational Linguistics, strong experience with multimodal data, and proficiency in scripting languages like Python. This dynamic role offers an exciting opportunity to contribute to the field of artificial intelligence.

Qualifications

• 2+ years experience in computational linguistics or language data processing.
• Experience with language data annotation systems.
• Experience working with speech, text, and multimodal data.

Responsibilities

• Design complex data collections with human participants.
• Conduct data creation tasks using synthetic data generation methods.
• Analyze and extract insights from large amounts of data.
• Build tools for data analysis or creation using Python.

Skills

Python

Data analysis

Communication

Organization

Education

Master’s degree in Computational Linguistics or equivalent

Tools

SQL

R

Matlab

Job description

Language Engineer, Artificial General Intelligence - Data Services

Job ID: 3145649 | Evi Technologies Limited

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, enabling them to build advanced ML models.

Basic Qualifications

• 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
• Extensive experience working with speech, text, and multimodal data in multiple languages
• Experience in data creation for complex agentic workflows
• Practical experience with Machine Learning
• Familiarity with technical concepts such as APIs
• Practical knowledge of version control and agile development
• Familiarity with database queries and data analysis processes (SQL, R, Matlab, etc.)
• Willingness to support several projects at one time, and to accept reprioritization as necessary
• Able to think creatively and possess strong analytical and problem‑solving skills

Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our privacy notice to know more about how we collect, use and transfer the personal data of our candidates.