Amazon
Production Coordinator, DS, Digital Studios - ML Data Operations
Amazon, Memphis, Tennessee, us, 37544
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.
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
BA 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)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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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
BA 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)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr