Digital Associate, Ring Data Engineering Services
Amazon
Amazon
Join our dynamic team as a Digital Associate, focusing on creating high-quality written content for multimedia projects and meticulously labeling data across audio, image, and video files. This role is central to our data engineering services, ensuring clarity, conciseness, and audience relevance in all produced content.
You will perform straightforward annotation tasks within specific ML data process areas, utilizing proprietary tools. Responsibilities include potential participation in data collection under provided instructions, adhering strictly to compliance and confidentiality guidelines. A key aspect involves applying advanced language skills, grammar, and linguistic principles to guarantee accurate and appropriate text generation, alongside conducting quality audits to maintain high standards. Meeting daily productivity and quality targets, tracking queries, and reporting task completion status are essential. You will also assist in testing new Standard Operating Procedures and ML data tools, providing constructive feedback for process optimization and offering guidance on tool usage.
A strong command of the English language, encompassing grammar, syntax, and vocabulary, is fundamental. While a background in linguistics, creative writing, or computational linguistics is advantageous, a Bachelor's degree or equivalent is a primary requirement, coupled with experience in both written and spoken English. Familiarity with the Windows desktop environment, including Word and Excel, and a flexible mindset for repetitive tasks are necessary. We seek candidates with high energy, a proactive approach, a strong sense of ownership, and the ability to meet daily deadlines. Excellent attention to detail, robust problem-solving skills, and the capacity to thrive in a fast-paced, collaborative setting are vital. A genuine passion for language, technology, and AI advancements will set you apart, alongside the ability to manage multiple projects and meet deadlines effectively.
Amazon
Data Engineering