Language Engineer, Artificial General Intelligence - Data Services

The BDPN; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Job summary

Amazon AGI Data Services seeks Language Engineers to develop complex multimodal datasets and oversee data collection, including synthetic data methods, working with product managers, engineers and data scientists to advance AI model evaluation and training.

You will design data collections, build tools in Python, analyze large datasets, and collaborate across teams to improve AI capabilities in a fast-paced environment.

Qualifications

• Master's or higher degree in a relevant field (Computational Linguistics or equivalent)
• 2+ years experience in computational linguistics, language data processing or AI data creation
• Experience with language data annotation systems and other data markup
• Proficient with scripting languages such as Python
• Experience with speech, text and multimodal data in multiple languages
• Excellent communication and highly detailed orientation
• Comfortable in a fast-paced, collaborative environment

Responsibilities

• Design complex data collections with human participants, define quality targets and coordinate data collection
• Design and conduct data creation tasks using synthetic and model-based methods
• Analyze and extract insights from large data sets
• Build data analysis or creation tools using Python or similar
• Use modeling tools to test new AI functionalities
• Collaborate with scientists and engineers to evaluate AI model performance

Skills

Python

Data analysis

Multimodal data

Communication

Team collaboration

Education

Master's degree or higher in Computational Linguistics or related field

PhD in Computational Linguistics (preferred)

Tools

APIs

Version control

SQL

R

MATLAB

Job description

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

• 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 opportunities 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 ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.