Job Description

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