Amazon

Catalog Specialist II

Posted on:Β 
November 24, 2023

Skills Preferred

writing
reading and comprehension
ChatGPT
FLAN
MS Word
Python
PHP
Ruby
MongoDB
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PostgreSQL
Oracle
DevOps
DevOps
DevOps
DevOps
DevOps
DevOps

Job Description

Global Catalog Operations team at Amazon is looking for a highly motivated and talented candidate for the role of Catalog Specialist II. Proficiency in written and verbal English is a fundamental requirement for this position. The ideal candidate will be responsible for conducting quality audits and recommending high confidence corrections to Amazon’s retail catalog. A typical day in this role will also involve using existing artifacts to build/annotate subjective textual content on Amazon products and create/modify custom instructions to train/ fine tune internal Artificial Intelligence (AI) based systems. The candidate is also expected to use human judgement to make decisions on behalf of our customers. Strong qualitative research, quantitative analysis, communication skills, attention to detail-and a commitment to excellence are the required skill sets for this role.

Responsibilities

Lead and oversee the execution of content audits, adhering to established processes, guidelines, and Standard Operating Procedures (SOPs), while ensuring utmost accuracy and efficiency. Demonstrate exceptional judgment and decision-making skills during content audits, even in situations with ambiguous or incomplete information. Exercise your editorial expertise to approve or disapprove audit entries based on pre-defined guidelines, providing well-reasoned explanations for each decision. Effectively communicate audit results to relevant stakeholders within the organization, offering insights and recommendations for continuous improvement. Create appealing high-quality textual content for Amazon products which will enhance customer’s e-commerce buying experience. Develop new or curate existing custom prompts/instructions to improve the quality of system outputs. Analyze system-generated outputs and use existing feedback loop to finetune the instructions which helps improve precision and recall of system-generated outputs. Utilize authoritative sources to validate and enrich catalogue data, ensuring its reliability and relevance to customers. Effectively communicate audit results to relevant stakeholders within the organization, offering insights and recommendations for continuous improvement. Browse the Amazon site and use search techniques to locate specific products internally and externally. Analyze available data and leverage your experience to identify emerging trends and patterns, contributing valuable insights to strategic decision-making.

Job Requirements

Basic Qualifications: 1+ years of program or project management experience. Experience using data to influence business decisions. Bachelor's degree in the field of Engineering, Science, Arts or Literature with 1 to 2 years of working experience in textual content management processes or similar fields. Proficiency in American English with demonstrated language skills in verbal, writing, reading, and comprehension. Experience in creating compelling and appealing unstructured textual content is required for this position. Comfortable collaborating with textual content creators and providing constructive feedback to enhance content value. Hands-on experience in interacting with commonly used Large Language Models such as ChatGPT, FLAN etc. Strong working knowledge of basic computer business applications such as MS Word, MS Excel, and Outlook. Familiarity with online retail (e-commerce) and Internet search industries. Willingness to work with sensitive issues, including but not limited to: - Adult Content - Religious and philosophically sensitive issues - Alcohol, tobacco, weapons and other potentially offensive products. Preferred Qualifications: Familiar with Search Engine Optimization (SEO) techniques. Proven track record of improving content readability, clarity, and overall quality through effective editing techniques. Academic exposure to AI-based technologies such as prompt engineering, and instruction fine-tuning.

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