Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of its businesses. The ML Data Associate will support this initiative by performing foundational labeling functions for AI models.
Requirements
- C1+ or equivalent fluency in English language
- Strong business writing skills with ability to create reports, proposals, and professional correspondence
- Advanced reading comprehension with ability to analyze complex business documents
- Developed analytical thinking and structured problem-solving capabilities
- Strong ability to interpret and implement detailed instructions across various projects
- Proficient research skills with experience gathering and synthesizing information from multiple sources
- Proven attention to detail in managing complex tasks and documents
Responsibilities
- Work with a wide range of different types of data including but not limited to text, speech, image, and video
- Deliver high-quality labelled data, utilizing in-house tools, software, and guidelines to meet our Key Performance Indicators
- Serve as a subject matter expert for Machine Learning (ML) data workflows.
- Demonstrate proficiency in research, ranking responses based on factual and grammatical accuracy, and creating grammatically correct text, speech, image, and video annotation
- Demonstrate expertise in handling end-to-end data execution processes related to LLM labelling tasks
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs
- Identify and escalate operational issues within day-to-day process, standard operating procedures and tools.
Other
- Maintain and follow strict confidentiality guidelines as customer privacy is our top priority
- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
- Rapidly switch from one category of work to another all while maintaining attention to detail
- Suggest ways to invent and simplify and/or unblock operational workflows
- An Associate’s Degree or related work experience
