Junior ML Data Associate

Verified Job On Employer Career Site
Job Summary: Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of its businesses. They are seeking a ML Data Associate to undertake foundational labeling functions, ensuring high-quality data while maintaining strict confidentiality. The role involves working with various data types and improving operational workflows to enhance labeling tasks.
Responsibilities: • Maintain and follow strict confidentiality guidelines as customer privacy is our top priority • 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 • 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 • 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. • Suggest ways to invent and simplify and/or unblock operational workflows
Qualifications:
Required: • An Associate’s Degree or related work experience • 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 • Experience managing stakeholder relationships across departments • Advanced proficiency in Microsoft Office Suite and common business applications.
Preferred: • Bachelor’s degree in a relevant field • 2+ years of professional work experience with demonstrated task execution ability • Proven capacity to leverage open-source resources effectively for comprehensive research purposes • Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Public Company. Amazon has a track record of offering H1B sponsorships.