Agentic AI Teacher, AGI DS

Amazon; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading multinational technology company is seeking innovative candidates to join their Data Team. The role involves creating and annotating high-quality training data across various modalities, utilizing Python and SQL, and interpreting technical documentation. Ideal candidates have a strong proficiency in English and proven experience with data annotation. This position offers a dynamic environment where your work will significantly impact AI systems used by customers. Join us in advancing responsible AI development.

Qualifications

• Advanced-level proficiency in English language (C1+ or equivalent).
• Proven experience working with written language data.
• Familiarity with scripting languages and data structures.

Responsibilities

• Create and annotate high-quality complex training data in multiple modalities.
• Utilize Python and SQL to automate data processing workflows.
• Interpret technical documentation to implement solutions accurately.

Skills

Advanced-level proficiency in English

Experience with annotation and data markup

Python scripting

Ability to adapt to fast-paced environments

Job description

Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities.

We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines.

Key job responsibilities

• Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content.
• Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines.
• Utilize Python and SQL to automate and optimize data processing workflows.
• Interpret technical documentation to implement solutions accurately.
• Dive deep into issues and implement solutions independently.
• Identify and report tooling bugs and suggest improvements.
• Make sound judgments and logical decisions when faced with ambiguous or incomplete information.

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

• Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
• Proven experience working with written language data, including experience with annotation and other forms of data markup.

Preferred Qualifications

• Ability to adapt well to fast‑paced environments with changing circumstances, direction, and strategy.
• Experience managing stakeholder relationships across departments.
• Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
• Familiarity with critical concepts such as Python, scripting languages, data structures, etc.

Equal Opportunity

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

We believe passionately that employing a diverse workforce is central to our success. 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 learn more about how we collect, use, and transfer the personal data of our candidates.