Amazon Recruitment Drive for 2023 Freshers

About Company : Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Company Full Name : Amazon
Job Role : Digital Associate IVA
Degree Needed : Any Degree
Batch : Any Batch
Location : Hyderabad

Job Description :
Roles and Responsibility :

Performs annotation for image and video files to support ground truth data generation
Understands and follows the SOP, procedures and guidelines to execute daily tasks
Performs repetitive annotation activities and adopts to dynamic instructions without compromising on quality
Uses internal tools and software provided by team to track daily status completion and queries.
May participate in data collection activities when scripts and instructions are provided.
Adheres to compliance and confidentiality requirements.
Meets daily productivity and quality targets.
Suggests improvements to tools, processes, and SOPs.

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Required Qualification and Skills :

A graduate in any field of study. Quantitative fields such as science and engineering preferred but not mandatory
Excellent English communication and interpersonal skills.

Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required
Basic knowledge on ML data labeling process, related tools and software used for ground truth generation.
Flexibility and Interest to do repetitive tasks is required

Exceptional attention to detail.
High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential
Minimum of 6 months of work experience in data labeling on image/video with multiple classes of objects and attributes.
Practical knowledge of data processing needs and trade-offs