Agentic AI Teacher

About the Role: Agentic AI Teacher at Amazon

Amazon is making significant investments in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all its businesses. As a core member of the Data Team, you will play a pivotal role in delivering high-quality training data, essential for improving and expanding Amazon's proprietary LLM capabilities. We are actively seeking innovative candidates who possess the drive to solve complex problems and contribute to technological advancements in AI. Your contributions will directly influence how Amazon's customers interact with our cutting-edge AI systems across diverse business lines.

This is a fixed-term contractual role for 1 year and requires flexibility to work in rotational shifts.

Key Job Responsibilities

• Create and annotate high-quality, complex training data across multiple modalities, including text, image, and video.
• Work on a variety of topics, including highly technical or science-related content.
• Write grammatically correct texts in different styles, with varying degrees of creativity, strictly adhering to provided guidelines.
• Interpret technical documentation to accurately implement solutions.
• Dive deep into issues and implement solutions independently.
• Identify and report tooling bugs and suggest improvements for optimization.
• Make sound judgments and logical decisions, especially when faced with ambiguous or incomplete information.

About The Team

Amazon strives to be the world’s most customer-centric company, empowering customers to research and purchase anything online or offline. We set ambitious goals and seek individuals who can help us achieve and surpass them. The AGI organization is responsible for providing advanced AI capabilities across various Amazon products and search functionalities. We deliver secure, flexible, cost-effective, and high-quality data development services to our customers, enabling them to build sophisticated ML models.

Basic Qualifications

• Bachelor's degree or equivalent.
• Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
• Familiarity with written language data, including experience with annotation and other forms of data markup.

Preferred Qualifications

• Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
• Ability to utilize Python and SQL to automate and optimize data processing workflows.
• Experience or ability to learn and manage stakeholder relationships across departments.

Key Skills/Competency

• AI and ML Data Annotation
• Large Language Models (LLMs)
• Multimodal Data Processing
• Content Creation and Editing
• Technical Documentation Interpretation
• Problem Solving & Debugging
• Quality Assurance
• Python for Data Automation
• SQL for Data Management
• Adaptability & Judgment