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Language data engineer for agi: multimodal & synthetic data

London
Amazon
Data engineer
Posted: 27 May
Offer description

Overview

The Amazon Artificial General Intelligence (AGI) Data Services organization develops diverse datasets to train and evaluate Amazon AI models. We are hiring Language Engineers to support the development of complex, multimodal datasets using 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 collaborate with cross‑functional teams, including product managers, engineers, and data scientists, to ensure 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


Basic Qualifications

* Master’s degree or above in Computational Linguistics
* Master’s degree or above in Linguistics or a related field
* Experience in computational linguistics, language data processing, semantics, and philosophy of language
* Experience in Python, Perl, or another scripting language
* Experience in speech and language data analysis


Preferred Qualifications

* Experience owning and executing language data collection projects, including guidelines, labelset and annotation workflow development


Equal Opportunity

Amazon is an equal opportunities employer. We do not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

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.

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