About Amazon :
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.
Job Description :
Amazon is looking digital associate in Hyderabad.
Job Title : Digital Associate
Job Type : Full Time
Location : Hyderabad
Experience : Fresher
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Role 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.
Education 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.
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