Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all 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.
This is a fixed term contractual role for 1 year, requiring flexibility to work in rotational shifts.
- 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
- 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
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.
- 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.
- Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
- Utilize Python and SQL to automate and optimize data processing workflows
- Experience/ability to learn and manage stakeholder relationships across departments
