Amazon Off-Campus Hiring

Role:- Digital Associate

Education:- Any Graduate

Experience:- 0-2 Years

Location:- Multiple

Salary:- 4-6 LPA (E)

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 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 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.

Application  Link:-Click here to apply