Job Description

DESCRIPTION

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Digital Studios (DS) team is responsible for providing high-quality ML data operations (annotations/audits) and Gen-AI content creation services to support our customers in launching new products and features while supporting them throughout the entire lifecycle (pre-launch, beta, and post-launch). The team works closely with Amazon internal customers within various organizations who need high-quality data and content creation services. DS goal is to provide end-to-end solutions including annotations, audits, retouch and Gen-AI content creation using established tools.



Production Coordinator works directly with internal customers and Digital Studios team to drive projects to completion. They are experts in ML data operations and Gen-AI content creation initiatives, managing people




Key job responsibilities

Build and maintain relationships with new and existing stakeholder and act as the main point of contact for specific projects Create a strategic plan for the client's annotation projects and requirements Work with multiple internal teams (data, product, R&D, engineering, and science) to align on client's goals, requirements, headcount, and deadlines Own and lead various machine learning algorithm projects, some prior examples include outfit recommendations on Detail Page, "Alexa, What Should I Wear?" and Virtual Closet Meet customers' expectations by diving deep into their KPIs, analyzing performance data, and identifying opportunities to improve efficiency Report progress, learnings, and goals to operations team in order to drive process improvements Drive Gen-AI content creation projects using established tools Monitor and maintain quality standards for both annotations and content creation Lead training sessions for new tools and processes Drive continuous improvement in operational metrics and team performance

BASIC QUALIFICATIONS

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Bachelor's degree, or Bachelor of Arts degree Experience in project management Knowledge of Excel Experience in resolving conflicts and set appropriate expectations with customers Experience with analytical tools and ability to dive deep into metrics and reporting

PREFERRED QUALIFICATIONS

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Experience applying key financial performance indicators (KPIs) to analyses, or experience in quantitative role (engineering, process re-engineering, quality assurance)


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