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Amazon Job Vacancy Alert for Digital Associate
Job description
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 the 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.
A Day in the Life
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.
Basic qualifications
A graduate in any field of study. Quantitative fields such as science and engineering are 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 of 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.
Basic qualifications
Practical knowledge of data processing needs and trade-offs
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