Quality Assurance Tech, Robotics Development Center
Amazon.com
Amazon Mechatronics and Sustainable Packaging’s (MSP) Media Analysis Program (MAP) is looking for a customer-obsessed Quality Assurance Technician (QAT) to conduct detailed Quality Assurance (QA) projects in support of automations and robotics product development at Amazon's Robotics Development Center (RDC) and in the field. In this role you will leverage various cameras, sensors, and media collection equipment to capture processes for distributed analysis using a combination of internal, industry-standard, Free-and-Open-Source-Software (FOSS), and Amazon Web Services (AWS) tools. You will work with partners and stakeholders to generate meaningful data from media to provide unbiased performance data for products in development and inform business decisions at an executive level.
This is an interdisciplinary role at the RDC that will expose you to Project Management, Media Editing, Content Management, Learning & Development, Product Development, Business Intelligence, Hardware Engineering, Software Engineering, and Operations.
Key job responsibilities
* Execute test plans for product development and process improvement initiatives.
* Work with customers to understand their needs and escalate when necessary.
* Install, Operate, Maintain, and Secure (IOMS) various media collection equipment.
* Manage and Process various forms of digital media for human and machine analysis and annotation.
* Create and provide training for annotators.
* Supervise annotators during projects.
* Audit aggregated data for accuracy.
* Aggressively document your work.
* Install, Operate, Maintain, and Secure (IOMS) lab infrastructure.
* Up to 45% travel to support installation and Ground Truth development
A day in the life
On a given day in this role you might lead a meeting with customers and additional stakeholders to understand the requirements for an incoming request, work with cross-functional partners to determine what equipment can/should be used, conduct virtual/physical reconnaissance to determine where to place media collection equipment, develop a media collection strategy and/or a media analysis strategy, train partners and associates on your analysis strategy, edit and process media for analysis, perform light data management/analysis, manage an inventory of cameras and media equipment, manage internal portals and wikis, or whatever else you think will add value to the team.
About the team
MAP is focused on providing meaningful data for product development through media collection and analysis. In addition we partner with Science teams to build Ground Truth for ML development. In this role you will develop proficiency in many domains and have a profound impact on the future of Amazon’s Fulfillment Network.
This is an interdisciplinary role at the RDC that will expose you to Project Management, Media Editing, Content Management, Learning & Development, Product Development, Business Intelligence, Hardware Engineering, Software Engineering, and Operations.
Key job responsibilities
* Execute test plans for product development and process improvement initiatives.
* Work with customers to understand their needs and escalate when necessary.
* Install, Operate, Maintain, and Secure (IOMS) various media collection equipment.
* Manage and Process various forms of digital media for human and machine analysis and annotation.
* Create and provide training for annotators.
* Supervise annotators during projects.
* Audit aggregated data for accuracy.
* Aggressively document your work.
* Install, Operate, Maintain, and Secure (IOMS) lab infrastructure.
* Up to 45% travel to support installation and Ground Truth development
A day in the life
On a given day in this role you might lead a meeting with customers and additional stakeholders to understand the requirements for an incoming request, work with cross-functional partners to determine what equipment can/should be used, conduct virtual/physical reconnaissance to determine where to place media collection equipment, develop a media collection strategy and/or a media analysis strategy, train partners and associates on your analysis strategy, edit and process media for analysis, perform light data management/analysis, manage an inventory of cameras and media equipment, manage internal portals and wikis, or whatever else you think will add value to the team.
About the team
MAP is focused on providing meaningful data for product development through media collection and analysis. In addition we partner with Science teams to build Ground Truth for ML development. In this role you will develop proficiency in many domains and have a profound impact on the future of Amazon’s Fulfillment Network.
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